₦airaland Forum

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
26th to 30th July 202 Climate Change Risk Management in Building Resilience to Mitigate Effects of Climate Change
23rd to 27th August 2021 Climate Change Risk Management in Building Resilience to Mitigate Effects of Climate Change
13th to 17th September 2021 Climate Change Risk Management in Building Resilience to Mitigate Effects of Climate Change
INTRODUCTION
Climate change and other environmental stresses have been a policy concern to many countries particularly in low and medium developed countries. Some of the impacts of climate change include drought and floods. Countries that are usually affected by drought and floods among other climate change risks rely on emergency assistance which is in most cases not sufficient due to limited resources in those countries. Furthermore, predictions of future climate change by the countries meteorological departments are sometimes uncertain, and the future impacts are difficult to predict. This places emphasis on acting early and ensuring that systems are in place to deal with negative climate events. This 5 days course aim to achieve this objective by ensuring that participants acquire knowledge on climate change risk management strategies to mitigate effects of climate change.

DURATION
5 days

COURSE OBJECTIVES
By the end of the training participants should:
• Establish linkage between impact of climate change and climate-related disaster risk
• Utilize decision support tools for reducing climate-related disaster risks
• Plan for climate change adaptation using climate information to develop targets and appropriate strategies
• Identify options for climate risk management to a given context

COURSE OUTLINE
Module 1: Concepts of Climate Change and Climate Risk Management
• Basic concepts and terminologies in climate risk management
• Overview of climate change and climate risk
• Overview of climate change adaptation and climate change mitigation
• Overview of risk management strategies during planning, responding and recovery

Module 2: Decision Support Tools for Reducing Disaster Risks
• Overview of climate modelling for climate risk management
• Development and use of local climate outlook
• Climate risk mapping

Module 3: Understanding Urban Vulnerabilities to Climate Risk
• Relationship of urban growth and climate-related disaster risk
• Vulnerability assessment of urban communities to climate-related disasters
• Vulnerability assessment of urban systems to predicted impacts of climate change

Module 4: Integrating Climate Change Adaptation and Disaster Risk Reduction in Urban Development Planning
• Climate change impacts on urban sectors
• Applying urban climate resilience indicators
• Foundations for successful adaptation planning
• Urban climate change adaptation and climate risk management
• Cross-cutting issues in planning for and implementation of climate change adaptation and disaster risk reduction

Module 5. Case studies

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720
Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
19th to 23rd July 2021 Food Security Policies Formulation and Implementation
23rd to 27th August 2021 Food Security Policies Formulation and Implementation
20th to 24th September 2021 Food Security Policies Formulation and Implementation

INTRODUCTION
Food security exist when all people have physical, social and economic access to sufficient, safe and nutritious food that meets dietary needs and food preference for an active healthy life at all times. Food security has been highlighted as a focal area of concern by the United Nations’ Sustainable Development Goals (SDGs) and African Union (AU) Malabo declarations of 2014. Food security has a direct effect on social and economic stability of a nation. Food security policies are developed to foster the development of a food secure country. This training course shall enlighten the participants on food policy formulation process and implementation that can enhance a food secure economy.

DURATION
5 Days

COURSE OBJECTIVES
At the end of the training, the learner will be able to understand:
• Importance of policies aimed at improving food security.
• Key features of food security policies.
• The role and functions of the relevant stakeholders in food security policy formulation and implementation.
• The purpose of a monitoring and evaluation system for food security policies and identify the approaches and methods to be applied.
• The sequence of steps performed in the process of food security policy formulation and implementation.
• Food security policy policies as link between food security information and actions aimed at improving the food security situation.
• The relationship between food security policies and framework for action to combat hunger and alleviate food insecurity in a country.

COURSE OUTLINE
Module 1:
Introduction and Background of food security policies
• Basic concepts and terminologies
• The need for food security policies
• Features of food security policies
• Aims of food security policies
• Effects of policy interventions in food security

Module 2:
Establishment of a Food Security Policy Framework
• Typical approaches to designing food security policies
• Conceptual framework for food security policies
• Subjects of food security policies
• Policies with multiple effects on food security
• Linkages to other policies, strategies & programmes

Module 3:
Institutional Framework for Food Security Policies
• Institutional set-up and coordination mechanism
• Role and functions of government institutions
• Role of Local and International NGOs
• Role of Civil society Organizations (CSOs)
• Role of UN and Donor Agencies

Module 4:
Policy Formulation and Implementation
• Policy analysis in the food industry
• Initiation of policy process
• Policy Formulation
• Policy Implementation

Module 5:
Policy Monitoring and Evaluation
• Purpose of FSP monitoring and evaluation
• Monitoring and evaluation concepts
• Approaches and methods
• Evaluation criteria
• Setting up an FSP monitoring and evaluation system
• Linking M & E and food security information to other policy spheres


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
26th to 30th July 2021 Food security analysis
16th to 20th August 2021 Food security analysis
18th to 22nd October 2021 Food security analysis

Introduction
Strengthening of the agri-food systems is key in achievement of solutions to the current challenges of food insecurity in developing countries. Improving food security situation requires a multi-faceted approach including looking at alternative strategies and technologies to sustainable agricultural food production. This 5 day training course targets researchers, policy makers and people working in the area of food and nutrition security. The course is designed to provide insights on how to strengthen the agri-food systems towards no poverty and zero hunger as envisioned in Sustainable Development Goal (SDG) one and two, respectively.
Who can attend
• Researchers and data handling professionals in the agriculture and planning sector.
• Food nutritionists and organizations in this field..
• Project managers dealing with governments or NGOs.
• Curious and Interested persons.
By the end of the training, participants will be able to:
• Legislating for the right to adequate food
• Nutrition and sustainable food systems for healthy diets
• Gender and social policies
• Access to and control of productive resources
• Responsible investments in agriculture and food systems
• Budgeting to achieve zero hunger and partnering for resource mobilization
• Adoption of food security supporting new agricultural technologies such as construction of water pans, green houses farming, drip kit irrigations, multi-story gardening, kitchen gardens, moist beds, roof top farming, hanging gardens, management of solid waste through composting, small livestock and fish ponds.
Training Focus
• Introduction to food security
• Approaches of food security analysis
• Assessment of Food Security
• Tools of Food Security Analysis
• Introduction to GIS and R.S concepts in the context of food security.
• Geospatial analysis for agriculture and food security
• Assessment using GIS and RS
• Food Security Data Collection and Analysis
• Gender integration in Food Security
• Food Security Monitoring and Evaluation

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
October in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

19th to 23rd July 2021 Causes and Minimization of Post-Harvest Losses
23rd to 27th August 2021 Causes and Minimization of Post-Harvest Losses
20th to 24th September 2021 Causes and Minimization of Post-Harvest Losses

INTRODUCTION
Foods are very prone to loss and waste. Such loss and waste does not only lead to reduced farmers’ incomes and increase consumers’ expenses but also present many negative economic and environmental challenges. While the number of food insecure population remains unacceptably high, massive quantities of food are lost due to spoilage and infestations before they can be consumed. Reducing food losses and waste is a proven way of ensuring food security. This training course is designed to shed light on causes of postharvest losses and strategies that can reduce such losses.

DURATION
5 Days

COURSE OBJECTIVES
By the end of the course, participants will be able to:
• Understand the concepts of food losses and control.
• Understand the importance of attentive harvest, packing, storage and transportation to providing quality product.
• Understand how food management practices affect post-harvest condition.
• Understand how food safety practices begin in the field and carry through harvest & post-harvest handling.
• Reduce losses (both physical and in market value) between harvest and consumption.
• Protect food safety and learn appropriate handling technology for a given produce taking into consideration the available technology of the locality or country.
COURSE OUTLINE
Module 1: Basic concepts
• Food waste
• Food loss
• Food waste and loss
• Food quality loss or waste
• Physical loss
• Economic loss
Module 2: Causes of post-harvest losses
• Primary Causes
• Secondary Causes

Module 3: Methods of post-harvest loss and waste minimization
• Drying techniques
• Packaging and protective storage
• Refrigeration and cooling
• Use of chemicals
• Biological controls
• Canning
• Irradiation
• Freezing
• Pasteurization
• Sterile filtration
Module 4: Field trip

Module 5: Implications of reducing food loss and waste
• Food availability
• Food safety and security and livelihoods
• Food prices
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

19th to 23rd July 2021 Climate Change Adaptation in a Changing Environment
23rd to 27th August 2021 Climate Change Adaptation in a Changing Environment
20th to 24th September 2021 Climate Change Adaptation in a Changing Environment
INTRODUCTION
This training aims to enhance the capacities of humanitarian workers and practitioners in designing, implementing and evaluating Sustainable Livelihoods and Economic Recovery programmes based on disaster risk reduction and Sustainable Development principles. There is a growing recognition of the need to implement sustainable development activities after disaster and emergencies as part of economic recovery programs. This course provides the techniques and means to do so which are often not known to those responsible for post-disaster recovery. The training intends to bridge this gap by building the capacities of practitioners in the design and implementation of post-disaster economic recovery programs/interventions that integrate Sustainable Development Goals and Disaster Risk Reduction. It will improve their understanding of livelihood diversification, skills training, etc. and also provide them with tools which can facilitate decision making related to economic recovery that result in sustainable livelihoods and economies by:
• Enhancing the resilience of communities to future climatic change events;
• Creating a stronger infrastructure;
• Strengthening institutions against the eventualities of climate change; and
• Enabling sustainable recovery.
Participants of the training will contribute to building capacities of respective communities in recovering effectively from disasters and building resilience of affected communities in the long-term.

DURATION
5 days.

COURSE OBJECTIVES
To introduce participants to the need of reducing future humanitarian interventions including reducing the scale and embark on development to attain development goals
Towards this end, the training will discuss the following:
• Models of Economic Recovery;
• The design and conduct of Post-Disaster Impact Assessments;
• Different Livelihoods Interventions capable of addressing assessment outcomes;
• Tools and Mechanisms for Resource Mobilization to support recovery programming; and
• Data Collection, Tools, and Indicators for Monitoring and Evaluation.

COURSE OUTLINE
Module1: Understanding Disaster, Economic Recovery and Sustainable Livelihood Restoration
• The concept of disaster, elements at risk, disaster risk reduction, sustainable development
• Core principles of disaster, disaster risk reduction, sustainable development
• Basic concepts: Disaster and disaster risk management
• Linkages between Early Recovery, Vulnerability Reduction and Disaster Risk Reduction
Module 2: Early Recovery
• Assessing the economic impacts of a disaster
• Small business assistance and industry recovery (health)
• Emergency employment, cash for work and start-up grants to recapitalize local businesses;
• Debris management, access and rebuilding infrastructure;
• Local governance support, strengthening local government capacity for relief and recovery planning
• Coordination and implementation, improving the capacity for local risk management.
Module 3: Development of recovery networks
• Infrastructure and building back better communities
• community recovery committees and training
• Individual, community and organizational preparedness
• Community-Based Preparedness Committee

Module 4: Tools for designing Sustainable Development strategies and roadmaps
• Needs assessments and costing
• Monitoring Development: setting indicators
• Goal-based partnerships
• Strategic planning for disaster recovery
• Course Tasks

Module 5: Resilience building
• Economic diversification
• Economic Resilience
• Proactive disaster risk management
• Neighborhood revitalization
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

19th to 23rd July 2021 Agro Entrepreneurship Market Facilitation

23rd to 27th August 2021 Agro Entrepreneurship Market Facilitation

13th to 17th September 2021 Agro Entrepreneurship Market Facilitation

INTRODUCTION
Agriculture is central to hunger and poverty eradication. Many countries have tried numerous strategies to improve production and consequent food security status. Although increased agricultural production is essential, it is not sufficient to reduce hunger and poverty. There is need for promoting the entire agricultural value chain through collaborative efforts among the stakeholders. This course is intended for various actors working with communities, governments, funding agencies, research organizations, non-government organizations, civil society organizations, among others for agriculture and rural development intervention programmes.

DURATION
5 Days

COURSE OBECTIVES
Upon completion of the course, participants will:
• Understand the concept of agro entrepreneurship and market facilitation.
• Understand the agribusiness environment and how to make it inclusive
• Understand how to overcome pitfalls in agriculture-based businesses
• Understand importance of collective marketing
• Understand importance of record keeping

TOPICS TO BE COVERED
• Farming as a business
• Agro-entrepreneurship
• Collaborations in agricultural based businesses
• Value addition of agribusiness
• Market and market operations
• Record keeping
• Financing agribusiness
• Sources of finance for agribusinesses
• Market linkages
• Field trip
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

19th to 30th July 2021 Agricultural Value Chain Development and Market Linkages
16th to 27th August 2021 Agricultural Value Chain Development and Market Linkages
13th to 24th September 2021 Agricultural Value Chain Development and Market Linkages

INTRODUCTION
A value chain involves all activities that are required to bring a product or service from production to final consumers. The activities include design, production, marketing, distribution and support services leading up to consumption. There is also an element of value addition to the preliminary products across the chain as the product passes through the stages of the value chain. For smallholder farmers who are dominant in crop and livestock production in Africa to realize the benefit of participating in the value chain including linkage to input suppliers, traders and output market, there is need for them to have a strong position in the chain in terms of influencing their benefits. This 10 day training course aims to equip stakeholders working with farmers in rural, urban and peri-urban areas to strengthen their position in value chains.

DURATION

10 Days
COURSE OBJECTIVES
After this course participants will be able to:
• Explain the Value Chain, its concepts, principles and approaches and its role in sustainable economic development
• Explain Value Chain Development and Actor Empowerment (VCD&AE)
• Analyse the Value Chain using a variety of tools and steps, identifying constraints and opportunities for innovation
• Identify the steps for building engagement among and between chain actors
• Set up an effective monitoring, evaluation and impact assessment plan for a VCD&AE process

COURSE OUTLINE
Module 1: Introducing the value chain
• Formal definition of a value chain
• Traditional Selling Systems Compared with a Value Chain Marketing System
• Value Chain Marketing System
• Value Chain Framework
• The “new” framework for Chain Empowerment
• Chain Empowerment
• Case studies and group work
Module 2:
Value chain mapping and analysis
• Value chain development process
• Value chain selection
• Chain mapping and assessment
• Introduction to Value Chain selection process
• Building Engagement and Chain Development/Upgrading
• Chain Monitoring and Evaluation
Module 3:
Analyzing market and market development
• Introduction to market analysis
• Supply, demand and price setting
• Standards and certification
• Analyzing competition
• Group Exercise
Module 4:
Economic Sustainability
• Analyzing Economic Sustainability of Value Chains
• Introduction, calculating costs, revenue, profit margin, value added, value share …
• Group work - the economic sustainability of selected value chains
Module 5:
Value chain relations and governance
• Analyzing value chain relations and governance
• Intro-Importance of VC relations and governance
• analysis of value chain relations and governance
• Group work, presentation and discussion
Module 6:
Business Services and Finance
• The role of chain supporters; Business development services and Value Chain financing
• Group work – Role of VCD facilitator in enhancing availability of BDS to small holder farmers
Module 7:
Chain Context: Macro-environment
• The components of the macro- environment and their impact on value chain development
• Advocacy :- influencing the macro environment; Group work – PESTLE analysis of selected value chain
Module 8:
Developing Strategies for Chain Empowerment
• Introducing chain empowerment strategies
• Group work/case study on chain empowerment
Building Engagement and Chain Development
• Building engagement: obtaining “buy-in” from stakeholders
• Introduction to strategy development
Module 9:
Chain Monitoring and Evaluation
• Introduction; reiteration of concepts and terminology;
• Development of indicators and selection of analytical tools
Module 10:
Chain Learning and Innovation
• Introduction and examples
Competencies and Roles of chain development facilitator’s and support agencies
• Roles of chain development facilitator’s, and support agencies
• The do’s and don’ts of facilitators; Key competencies of VCD facilitators
• Action planning
• Course evaluation
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 1600
Online USD 1440

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details
View Other Agricultural courses
Visit our face book page
Visit our linkedin page
Visit our twitter account

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research and Statistics courses at our FineResults Services training facilities in Nairobi, Kenya or online.
12th to 16th July 2021 Effective Data Collection Management and Visualization
18th to 20th August 2021 Effective Data Collection Management and Visualization
13th to 17th September 2021 Effective Data Collection Management and Visualization

INTRODUCTION
Evidenced based policies for sustainable development and better lives call for better data. Improving the capacity of people involved in data collection, analysis and report writing in ensuring quality data is of significance. Following the changing data environment from use of paper in capturing data to use of digital innovation, there is need to train actors involved in data collection to help them adapt to the upcoming innovations and technologies. Some of the data that are collected through the new technologies include geospatial data, mobile phone, administrative data and citizen-generated data among others. This 5 days course will equip participants with knowledge on research design, designing data collection tools in mobile data collection enabled software, GIS and remote sensing, exporting data to various data collection software, data analysis and interpretation.
DURATION
5 days
WHO SHOULD ATTEND?
• Policy makers
• Researchers
• NGO and civil society staffs
• Educators
• Post graduate students
• Private sector representatives
• Media staffs
• Civil Society Organizations

LEARNING OBJECTIVES
At the end of training participants will:
• Undestand various data collection techniques and data processing methods
• Design data collection tools in google phone/ ODK/CTO/ CSpro (participants’ choice)
• Learn how to use mobile phones in data collection(Open data Kit/CTO/CSpro)
• Learn how to integrate socio economic data with GPS coordinates
• Learn how to draw maps using ArcGIS among other software
• Learn how to analyze and visualize data with the aid of GIS techniques

TOPICS TO BE COVERED
Module 1: Statistical Concepts
• Types of data
• Data Structures and types of variables
• Overviews of software used to digitize paper data collection tools (ODK/CTO/)
• Comparative analysis of various software used to digitize paper data collection tools (ODK/CTO)
Module 2: Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design

Module 3: Getting started in ODK/CTO
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Survey Authoring and Preparation of mobile phone for data collection
• Survey Authoring
• ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices
Designing forms and advanced survey authoring
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
Advanced survey Authoring
• Conditional Survey Branching
→ required questions
→ constraining responses
→ skip: Asking relevant questions
→ specify other
• Grouping questions
→ Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations
Hosting survey data (Online)
• ODK Aggregate
• Uploading the questionnaire to the server
Module 4: Introduction to concepts of GIS and remote sensing
• Spatial data collection techniques
• Using GPS
• Using GPS utility software for managing and downloading and managing data
• Working with data from different sources
• Attributes manipulation in GIS
• GIS software
• GIS system installation and setup
• GIS Data sources and types
• Using Mobile Phones for GIS data collection(ODK and KoBoToolbox
• Importing GPS data to Quantum GIS
Module 5: Visualizing data
• Understand map layers in GIS
• Composing a GIS layout from GIS layers
• Difference between a map and a layout
• Navigate maps
• Bringing tabular/spreadsheet data into a GIS (Excel, SPSS, Access )
• Connecting visual map features and tabular data
• Selecting subsets of map features from geo processing
• Finding map features
• Use data sorting records and labeling features to produce information
• Key elements of a map
• Composing a map

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

View Other Research Courses Offered

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research and Statistics courses at our FineResults Services training facilities in Nairobi, Kenya or online.
Date Event
19th to 23rd July 2021 Scientific Writing Preparing a Manuscript for Publication in International Journals
23rd to 27th August 2021 Scientific Writing Preparing a Manuscript for Publication in International Journals
13th to 17th September 2021 Scientific Writing Preparing a Manuscript for Publication in International Journals
INTRODUCTION
A critical aspect of the scientific process is the reporting of new results in scientific journals in order to disseminate that information to the larger community of scientists. Communication of your results contributes to the pool of knowledge within your discipline (and others!) and very often provides information that helps others interpret their own experimental results. The training course guides you in choosing appropriate formats and/or writing styles in developing various scientific journals. The participants will also be guided to outline a complete scientific paper, choose an appropriate journal to which they will submit the finished paper for publication, and prepare a checklist that will allow them to independently judge whether your paper is ready to submit.
DURATION
5 days
WHO SHOULD ATTEND?
This course is designed for students who have previous experience with academic research. If you just finished your graduate dissertation, just began your PhD, or are at a different stage of your academic journey or career and just want to publish your work.
COURSE OBJECTIVES
The objective of this course is to guide participant on a step by step process of developing a scientific paper. After the end of the training, the participants will be able to;
• Learn what is necessary before writing a paper: the context in which the scientist publish their papers. This will enable the participant to learn how to know their own community, through different examples, and then we will present you how scientific journal and publication works.
• Identify fundamental style for developing a scientific paper
• Understand the suggested strategy for efficiently writing up research results
• Understand every aspect of format and content of each section of a paper (part of learning to write a scientific paper is learning how to follow instructions precisely),
• Gain the basic information regarding peer critiques of scientific writing.
TOPICS TO BE COVERED
Module 1: Introduction
• Principles of effective writing
• Importance of publishing
• Contents of a scientific paper
• How to select a subject
• Narrowing down to the topic
• Ethical guidelines and intellectual property
Module 2: Developing a Scientific Paper
• Checking the originality of the idea at the very beginning of your research
• The structure of a paper
• What to include in the title and abstract
• Crafting better sentences and paragraphs
• Check the English
• Impact metrics and citations
• Fundamental styles for developing a scientific journal
Module 3: Structure of a good manuscript
• Basic principles that should always be kept in mind
• What editors and reviewers love, and what they hate
• Good science
• Publication in good journal
→ Impact factor
→ Immediacy index
• Good writing
• Essential content
• Presentation
Module 4: Parts of Scientific Paper and formatting
• Title
• Authors
• Abstract
• Keywords
• Introduction
• Methods
• Results
• Discussion
• Conclusions
• Acknowledgement
• References
• Supplementary materials
Module 5: Language issues
• Clarity, objectivity, accuracy, brevity
• Consistency of the sentences
• Logic of expression
• Accuracy of the grammar
• Spelling mistakes and typos
• Revision
• Conclusion

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org
REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
TRAINING FEE
Cost:
In-person USD 800
Online USD 720

Registration
July in-person/online
August in-person/online
September in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
 

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org
 
PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org
 
CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

View Other Research Courses Offered

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research and Statistics courses at our FineResults Services training facilities in Nairobi, Kenya or online.
Date Event
16th to 27th Aug 2021 Postgraduate Proposal And Thesis Development Mentorship Course

18th to 29th Oct 2021
Postgraduate Proposal And Thesis Development Mentorship Course


Introduction
Post graduate students taking either a Master’s degree or a Doctor of Philosophy degree are mostly faced with challenges in developing an academic proposal and thesis/dissertation. Some of the challenges are experienced on choosing the topic of the study, literature review, coming up with problem statement, data analysis method and the appropriate software for quantitative and qualitative data. This research mentorship course aim at improving research knowledge and skills, proposal and thesis/dissertation quality as well as quantity and quality of journal articles publishable in refereed journals emerging from postgraduate student’s research work.
Duration
10 days
Who should attend?
• Post graduate students who have just finished course work and are working on their project and thesis proposals
• Post graduate students who have are about to collect data
• Postgraduate students who have collected data and are in the process of analyzing it
• Postgraduate students who want to publish their research work
Course objective
The objective of this course is to guide participant on a step by step process of developing an academic proposal, thesis or dissertation or a scientific paper for publishing in a referred journal. At the end of the training, the participants will be able to;
• Learn how to choose a research topic,
• Know how to do literature review without plagiarism
• Understand useful tips on how to write a problem statement
• Know how to develop specific, measurable, achievable and realistic research objectives
• Understand both quantitative, qualitative and mixed methods research designs
• Learn different sampling techniques and sample size determination
• Learn different data collection methods
• Learn data analysis methods (Descriptive statistics and inferential statics)
• Identify fundamental style for developing a journal article for publication in a refereed journal
Modules to be covered
Module 1: Introduction to research methods
• Understanding the academic research process
• Developing an academic research idea
• Identification and writing a problem statement
• Formulation of good research questions and hypothesis
Module 2: Literature Review
• Identifying different sources of literature to review
• Theoretical versus empirical literature
• Purpose of literature review
• Ingredients of a good literature review
• Assessing value of literature and critical review of literature
• Citation of literature review (why, what, when)
• Avoiding plagiarism
• How to document literature review
Module 3: Data and Methodology
Cross-sectional data
• Conceptual, analytical and theoretical frameworks
• Difference between qualitative and quantitative research designs
• Empirical framework and econometric model specification
• Data types and sources
o Qualitative and quantitative data
o Primary versus secondary data and sources
• Sampling techniques (probability and non-probability sampling) and sample size determination
• Variable description, selection and definition
• Data management (database design, data entry, data cleaning, data processing)
• Data collection methods (qualitative and quantitative data)
 
Module 4: Data and Methodology (continued)
Time Series
• Conceptual, analytical and theoretical frameworks
• Research design
• Empirical framework and econometric model specification
• Data types and sources
o Qualitative and quantitative data
o Primary vs. Secondary data and sources
• Sampling and sample size determination
• Data management (database design, data entry, data cleaning, data processing)
• Variable creation, selection and definition
Module 5: Data and Methodology (continued)
Panel data
• Conceptual, analytical and theoretical frameworks
• Research design
• Empirical framework and econometric model specification
• Data types and sources
o Qualitative and quantitative data
o Primary vs. Secondary data and sources
• Sampling and sample size determination
• Data management (database design, data entry, data cleaning, data processing)
• Variable creation, selection and definition
Module 6: Introduction to Software skills and practical applications
• General overview of statistical software (SPSS, Stata, R studio, Eviews, Stata, SPSS, Nvivo, Atlas ti)

Module 7: Model Estimation Techniques, Interpretation and Discussion of Results
Cross section
• Descriptive statistics and interpretation
• Diagnostic testing, econometric problems and how to solve them(correlation, endogeneity, heterogeneity, sample selection bias etc)
• Estimation techniques (logit, probit, tobit, OLS, LPM etc)
• Impact evaluation techniques (Randomized control trials (experiments), propensity score matching, difference-in-difference estimation, regression discontinuity, doubly robust estimation)
• Presentation and Interpretation of results (coefficients, signs, significance)
• Discussion of results

 
Basic software skills and practice

• Overview of relevant software (SPSS, Stata, R studio, Nvivo, Atlas ti etc)
• Practical estimation of cross sectional models using relevant software

Module 8: Time series
• Descriptive statistics and interpretation
• Diagnostic testing, econometric problems and how to solve them (unit roots, cointegration,granger-causality, autocorrelation, heteroskedasticity, multi-collinearity etc)
• Estimation techniques (OLS, GLS, GMM etc)
• Presentation and Interpretation of results (coefficients, signs, significance)
• Discussion of results
Basic software skills and practice
• Overview of relevant software (Eviews, Stata etc)
• Practical estimation of time series models using relevant software

Module 9: Panel data
•
• Descriptive statistics and interpretation
• Diagnostic testing
• Econometric problems and how to solve them (e.g. heterogeneity, granger-causality
• Estimation techniques (pooled, fixed effects, random effects)
• Presentation and Interpretation of results (coefficients, signs, significance)
• Discussion of results

Basic software skills and practice
• Overview of relevant software (Eviews, Stata etc)
• Practical estimation of panel models using relevant software

Module 10: writing the research output thesis or journal article

• Content and scope of a research proposal
• Content and scope of a thesis and journal article
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
Cost:
In-person USD 1600
Online USD 1520

Registration
August in-person/online
October in-person/online

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org
For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

View Other Research Courses Offered

FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
24th -28th /05/2021 : Biopesticide for healthy and sustainable crop production


21st - 26th /06/2021: Biopesticide for healthy and sustainable crop production

26th – 30th /07/2021 : Biopesticide for healthy and sustainable crop production

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800

: Online Training USD 720

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Biopesticides refers to a pesticide which originates from natural materials such as animals, microorganisms, plants, bacteria, and certain minerals. In comparison with the conventional pesticides, biopesticides are less toxic, affect the target pest; they are effective in small quantities and decompose quickly. Furthermore, no destructive residue is left after a period of application of such a product. This makes biopesticides the most environment-friendly approach in pest control management. This 5-days course will equip participants with knowledge on how biopesticides are made, advantages of using them, and their mode of action.

DURATION
5 Days
TRAINING OBJECTIVES
Upon completion of this course participants will be able to:
• Learn about biopesticides formulations
• Understand Modes of Action for various types of biopesticides
• Learn how biopesticides are developed
• Evaluate the advantages and disadvantages biopesticides compared to synthetic chemicals
WHO SHOULD ATTEND?
• Agrochemicals researchers
• Research and Development Managers
• Formulation Specialists
• Agronomists and Chemists

COURSE OUTLINE
Module 1: Introduction to biopesticides
• Definition of biopesticides
• Classification of agricultural biological
• Classes of biopesticides
• Comparisons of use of biopesticides and conventional pesticides
• advantages of using biopesticides

Module 2: Biopesticide mode of action
• Bioherbicide mode of action
• Bioinsecticide mode of action
• Biofungicide mode of action

Module 3: Biopesticide formulation
• Process of biopesticide formulation technique
• Comparison of biopesticides and conventional pesticides
• Requirements and Challenges for biopesticide Formulation

Module 4: Analysis of case studies where Biopesticides have been used
• Global trends in the development and use of biopesticides in agriculture
• opportunities for the use of biopesticides in agriculture
• Integrating biopesticides with Integrated Pest Management
• Components of Integrated Pest Management

Module 5: Field visit to farms that have adopted Biopesticides
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

The most popular courses
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 21st May 2021

Send proof of payment to training@fineresultsresearch.org

View our Agricultural courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register for online Training.

For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Information Communication & Technology courses at our FineResults Services training facilities in Nairobi, Kenya.

Date: Event

19th -23rd 04/2021: Advanced Microsoft Excel Training

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Excel has powerful tools that enable busy users to set up systems that simplify data analysis and interpretation. Effectively using Excel allows users to devote their time more profitably to making decisions about and acting on results, with more effective outcomes. This course gives practical experience in the use of Microsoft Excel for data summary, presentation and for other basic statistical work. It concentrates on areas where Excel really can excel, such as array functions. We look at data entry and management, pivot tables, and graphics. We also review Excel's facilities for statistical analysis, advising on their use and limitations, and we show how add-ins can be used to enhance Excel's capabilities. Participants will learn through a series of practical simulations which ensures that they maximize their learning and can use the tools immediately when they return to the office. In addition to the practical component, all participants will also receive a manual describing all the techniques learned.

Duration
5 days

COURSE OUTLINE
Module 1
• Introduction to Excel FORMATING
• Adjusting Numeric Formats
• Controlling Fonts, Borders and Cell Color
• Alignment Tools & Other formatting Tools
• Row, Column and Sheet Adjustment & Adding Picture
• Excel Formula Basics

Module 2
• Introduction to Pivot Table
• Creating Pivoting Tables
• Summarizing PivotTable Data
• Sorting and Filtering Pivot Table
• Formatting PivotTable
• Applying Conditional Formatting
• Printing Pivot Tables and Pivot Charts
• The “if” Function

Module 3
• Printing Pivoting Tables
• Using Date and Time Functions
• Look Up functions
• Data Validation
• Data Validation Exercises
• Linking Sheets

Module 4
• Creating Forms
• Introducing Macros
• Sorting and Filtering data
• Formatting Dashboards
• Macros continued
• Macros - Advanced

Module 5
• Introduction to VBA
• Basics of VBA Programming
• VBA Conditional Statements
• VBA Loops Statements
• VBA Message Box and input
• VBA Miscellaneous & Macros


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 16th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
12th -16th /04/2021 : Participatory Monitoring and Evaluation Methods
17th -21st /05/2021 : Participatory Monitoring and Evaluation Methods

21st – 25th /06/2021 : Participatory Monitoring and Evaluation Methods

19th – 23rd /07/2021 : Participatory Monitoring and Evaluation Methods
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
‘Participation’ has become a critical concept in development. Donors, governments and NGOs are insisting upon participatory approaches in assessing needs and in implementing programme. With increased emphasis on the importance of participation in development, there is a growing recognition that monitoring and evaluation of development and other community-based initiatives should be participatory. This course will broaden participants’ understanding of PM&E as a support to program/project management at different levels and as a tool for strengthening participation, enhancing local capacity, and increasing local people’s confidence and control over development decisions and processes.

DURATION
5 Days

COURE OBJECTIVES
By the end of this course the participants will be able to:
• Understand PM&E Process
• Develop PM&E Results Levels
• Define Indicators for Participatory Monitoring and Evaluation
• Develop Logical Framework Approach in PM&E
• Carryout participatory M&E Planning
• Understand data collection for PM&E
• Develop Tools and Techniques for rural appraisal in PME
• Carryout data Analysis in PM&E
• Implement Participatory Impact Assessment

COURSE OUTLINE
Module 1
Introduction to Participatory Monitoring & Evaluation (PME)
• Definition of Participatory Monitoring & Evaluation
• Purpose and benefits of Participatory Monitoring & Evaluation
• Principles of Participatory Monitoring & Evaluation
• The relevance of Participatory Monitoring And Evaluation
• Challenges in using participatory approaches
PM&E Process
• Planning the PM&E Process and Determining Objectives and Indicators
• Data Collection methods and tools
• Data analyzing
Developing PM&E Results Levels
• M&E results chain
• Components of results chain
• Linking the result levels

Module 2
Indicators for Participatory Monitoring and Evaluation
• What are indicators
• Types of indicators
• Characteristics of good indicators
• Participatory process of indicator definition
Logical Framework Approach in PM&E
• LFA – Analysis and Planning phase
• Design of logframe
• Risk rating in logframe
• Horizontal and vertical logic in logframe
• Using logframe to create schedules: Activity and Budget schedules
Participatory M&E Planning
• Components of PM&E plan
• Developing PM&E plans
• Implementing PM&E plans
Participatory Project design
• Generating objectives for project planning
• Developing an action plan for implementation
• Group dynamics of participatory decision making

Module 3
Data collection for PM&E
• Participatory Information gathering Tools and Methods
• Quantitative and qualitative data
• Triangulating data collection sources and methods
• Preparing data collection methods/tools
Tools and Techniques for PME
• Participatory Rural Appraisal(PRA) tools
• Beneficiary Assessment
• Visual self-evaluation tools
• Testimonials
• Photographing the evidence
• Community records and indicators
Participatory Action Research
• Tools for PAR
• Importance of PAR
• Steps in carrying out PAR
Data Analysis in PM&E
• Introduction to data analysis in PM&E
• Using SPSS/Stata in quantitative data management and analysis for PM&E
• Descriptive and inferential analysis
• Participatory dissemination of the findings

Module 4
Participatory Evaluation
• Evaluation questions
• Evaluation design
• Participatory data collection
• Evaluation data analysis
• Evaluation findings dissemination and action planning
Participatory Impact Assessment
• What is participatory impact assessment
• Process of PIA
• Community defined indicators in PIA
• Participatory tools and methods in PIA
• Project attribution

Module 5
Reporting in PM&E
• Reporting on progress toward outcomes to Stakeholders and Participatory dissemination.
• Communication activities to partners and stakeholders
• Lessons learned
• Key activities and results that need planning
• Using the information for the action-learning process and reporting



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 9th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Project Management, Monitoring and Evaluation using Microsoft Project
17th -21st /05/2021 : Project Management, Monitoring and Evaluation using Microsoft Project

21st – 25th /06/2021 : Project Management, Monitoring and Evaluation using Microsoft Project

12th – 16th /07/2021 : Project Management, Monitoring and Evaluation using Microsoft Project

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Project management helps to effectively deliver quality projects within the cost, time and scope constraints. This course equips the participant with the skills to ensure their projects are completed on time and on budget and according to expectations. The participant will gain a strong working knowledge of project management and be able to immediately use that knowledge to effectively manage projects.

DURATION
5 Days

COURSE OBJECTIVES
By the end of the course you will be able to:
• Initiate a project.
• Develop project schedules
• Develop cost estimates, and budgets.
• Plan project quality, staffing, and communications.
• Analyze project risks.
• Plan and manage project procurement.
• Monitor and control project work.
• Monitor and control project schedule and costs.
• Monitor and control project quality, staffing, and communications.
• Monitor and control project risks and contracts.
• Close a project successfully.

COURSE OUTLINE
Module 1
Fundamentals of project management
• Components of Project Management
• Functions of a Project Manager
• The Art and Science of Project Management
• The Triple Constraints in Project Management
• The project Lifecycle

Project Identification and Design
• Stakeholder Analysis
• Problem Analysis; Problem tree
• Objectives Analysis; Objectives tree
• Strategy Analysis
• Design of Project Intervention Logic using Logical Framework

Project Set Up
• Project Governance Structure
• Project Charter
• Project Launch

Module 2
Project Planning
• Developing Project Management Plan
• Project Plan vs Project Proposal
• Principles of Project Planning

Project Scope Management
• What is Project Scope?
• Project and Product scope
• Use of Work Breakdown Structure in Scope definition
• Scope Creep

Project Time Management
• Activity Definition and Sequencing
• Activity Duration Estimating
• Activity Resource Estimation
• Schedule Development
• Optimizing schedule
• Schedule Control

Project Resources Management
• Why is managing resources important?
• Managing Project Finances; Budgeting, Cost Estimation, Cost baseline, Monitoring Budgets and Expenditures
• Project Earned Value Analysis
• Managing the Supply Chain
• Human Resources Management

Module 3
Project Risk Management
• Examine a Risk Management Plan
• Identify Project Risks and Triggers
• Perform Qualitative Risk Analysis
• Perform Quantitative Risk Analysis
• Develop a Risk Response Plan

Planning Project Procurement
• Plan Project Procurements
• Prepare a Procurement Statement of Work
• Prepare a Procurement Document

Project Implementation
• Identifying the Direct and Manage Project Execution Process
• Managing Issues
• Managing project team
• Manage Stakeholder Relationships and Expectations
• Managing Internal Controls

Module 4
Project Monitoring, Evaluation and Control
• Monitoring and Evaluation activities in Project Lifecycle
• Project M&E Plan
• Project Evaluation Approaches
• Project Control

Project Closure
• End of Project Evaluation
• Administrative, Financial and Contractual Closure
• End of Project Learning
• Stakeholders closure meeting

Module 5
Use of Microsoft Project in Project Management
• Basics of MS Project
• Creating tasks
• Allocating durations to tasks
• Advanced task scheduling
• Creating a resource pool and allocating resources to tasks
• Tracking Project Progress
• Customizing views
• Tracking costs
• Reports views


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 16th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
12th -16th /04/2021 : Report Writing for Project Monitoring and Evaluation
17th -21st /05/2021 : Report Writing for Project Monitoring and Evaluation

21st – 25th /06/2021 : Report Writing for Project Monitoring and Evaluation

12th – 16th /07/2021 : Report Writing for Project Monitoring and Evaluation
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
This workshop follows a systematic process of introduction to monitoring and evaluation (“M&E”) Reports writing and the importance of writing reports. Ideally this workshop provides summarized information regarding M&E reporting and is facilitated by an experienced M&E practitioner. There is not much point to collecting & monitoring evaluation data unless you know how & by whom that data will be used. Your challenge is to turn raw data information into useful knowledge & then report your results to the different programme stakeholders (e.g., donors, program staff, government, management) in a way that will be useful both to them & your organization.

COURSE OBJECTIVES
At the end of this course, the participants will be able to:
• Understand data collection tools
• Analyse data
• Reporting & why it is important
• Describe the different types of reports & communication tools that are usually produced by organizations
• Formats for quarterly & final project reports
• Develop step to step parts of M&E reports
• Report against indicators
• Describe how information can be used for decision-making.

COURE OUTLINE
Module1:
Data collection
• Meaning of data
• Data collection methods
• Analysis data

Module 2:
Introduction to M&E reports writing
• Definition and types
• Why do we report
• Narrative/progress reporting
• General M&E report structure

Module 3:
M&E reports writing
• Key sections of M&E reports

Module 4:
Writing the M&E Report
• Planning the report
• Organizing the contents
• Writing the different parts of the report
• Reporting against indicators

Module 5:
Finalizing the M&E Report
• Reviewing the report
• Editing the report
• Addressing comments/feedback


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 9th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
17th -21st /05/2021 : Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes

21st – 25th /06/2021 : Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes

19th – 23rd /07/2021 : Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
The aim of the evaluation is to generate substantial knowledge and learning on the results of a project or a programme. A good evaluation methodology is key for success of Water, Sanitation and Hygiene (WASH) programmes. Since its modest beginnings, Water, Sanitation and Hygiene (WASH) sector has become increasingly complex and multi-faceted. Monitoring and Evaluation tools and techniques plays a key role in ensuring WASH projects are designed, implemented as planned. This course will equip the participants with adequate skills to develop and manage robust M&E systems for effective management of Water, Sanitation and Hygiene (WASH) projects and programmes. Learners will be introduced to M&E frameworks, indicators as well as tools and techniques.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Understand monitoring and evaluation (M&E) for Water, Sanitation and Hygiene (WASH) Programmes.
• Design Water, Sanitation and Hygiene (WASH) projects using logical framework analysis approach
• Define different Water, Sanitation and Hygiene (WASH) indicators
• Track performance indicators over the life of the project
• Evaluate Water, Sanitation and Hygiene (WASH) programmes against objectives and targets
• Understand the gender role in M&E of Water, Sanitation and Hygiene (WASH)programmes
• Conduct impact evaluations of Water, Sanitation and Hygiene (WASH) programmes

COURSE OUTLINE
Module 1
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

Water, Sanitation and Hygiene (WASH) Policy issues
• Sustainable development
• Economic contribution of Water, Sanitation and Hygiene (WASH) projects/programmes.
• Link between Water, Sanitation and Hygiene (WASH) programmes and county’s development

Module 2
M&E Frameworks in Agriculture and Rural Development
• WASH Conceptual Frameworks
• WASH Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of WASH projects using LogFrame

Agriculture and Rural Development Indicators
• Indicator metrics
• Linking indicators to results
• Indicator Matrix
• WASH indicator performance tracking
• Sector-wide indicators for WASH programmes.
• Specific indicators for Sub-sectors of WASH
• Indicators for Thematic Areas related to WASH

M&E System and M&E Planning in WASH
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project

Module 3
Data Management for M&E in WASH
• Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
• Use of different Surveys in data collection for WASH
• Participatory methods of data collection for WASH
• Data analysis for WASH

Gender integration in M&E for Agriculture and Rural Development
• Gender integration during project activities design
• Gender indicators in WASH
• Cross cutting gender issues in WASH
• Measure of gender outcomes

Module 4
Performance Evaluation of Agricultural and Rural Development programs
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation questions
• Evaluation findings sharing and dissemination

Impact Evaluations for Agriculture and Rural Development
• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

Module 5
M&E Results Use and Dissemination
• Use of M&E results to improve and strengthen WASH projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 16th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
12th -16th /04/2021 : Monitoring and Evaluation of Food and Nutrition Security Programmes
17th -21st /05/2021 : Monitoring and Evaluation of Food and Nutrition Security Programmes

21st – 25th /06/2021 : Monitoring and Evaluation of Food and Nutrition Security Programmes

19th – 23rd /07/2021 : Monitoring and Evaluation of Food and Nutrition Security Programmes
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
In order to achieve a world free of hunger and malnutrition, it is vital to provide sustainable solutions that provide the largest impacts on development outcomes. Monitoring and Evaluation tools and techniques plays a key role in ensuring Food Security programs are designed, implemented as plan and that they improve the well-being of the target communities. This course equips the participants with adequate skills to develop and manage robust M&E systems for effective management of FSN programs. The learner is introduced to FSN indicators, tools and techniques for M&E in FSN.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Understand monitoring and evaluation (M&E) of FSN programs
• Design a FSN project using logical framework
• Understand Food Security and Nutrition programs specific indicators
• Track performance indicators over the life of the project
• Evaluate FSN programs against targets
• Understand gender role in M&E in FSN programs
• Conduct impact assessment of Food Security and Nutrition programs

COURSE OUTLINE
Module 1
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

Food Security and Nutrition M&E Frameworks
• Food security and Nutrition Conceptual Frameworks
• Food security and Nutrition Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of Food security and nutrition projects using LogFrame

Module 2
Food Security and Nutrition Indicators
• FSN indicators definition: Dietary diversity score, Food Consumption Score, Coping Strategy Index, Nutrition indicators
• Indicator metrics
• Linking indicators to results
• Indicator Matrix
• FSN indicator performance tracking

M&E System design and M&E Planning in FSN
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E plan vs Performance Management Plan (PMP)

Module 3
M&E Considerations for Sector Specific Programming
• Food Security Programs: Food Availability, Seasonality, Food Access, Food Utilization
• Health and Nutrition Programs; Selection of Indicators, sources of data, Reproductive Health
• Integrating Cross Cutting Issues into Data Collection

Data Management for M&E in FSN
• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection

Module 4
Gender integration in M&E for FSN
• Gender integration during project activities design
• Gender indicators in Food Security and Nutrition programs
• Cross cutting gender issues in FSN
• Measure of gender outcomes

Evaluation of Food Security and Nutrition Programs
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation findings sharing and dissemination

Impact Assessment of Food Security and Nutrition Programs
• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

Module 5
M&E Results Use and Dissemination
• Use of M&E results to improve and strengthen FSN projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org


PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 9th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
22nd -26th /03/2021 : Monitoring and Evaluation for Health Sector Programmes

19th -23rd /04/2021 : Monitoring and Evaluation for Health Sector Programmes

17th – 21st /05/2021 : Monitoring and Evaluation for Health Sector Programmes

21st – 25th /06/2021 : Monitoring and Evaluation for Health Sector Programmes

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Monitoring and Evaluation helps in collecting, analyzing and transforming health data into strategic information for informed decision making, improved effectiveness and enhanced advocacy in health programs. M&E will help to ensure that health programs are implemented as planned and to assess whether desired results are being achieved. This course aims to build the capacity of M&E professionals working in the health sector. The acquired M&E skills will assist the participants to improve health program planning and performance management and enhance the institutionalization of the collection of health-related data and the analysis of program impact. The main topics covered include the development of monitoring and evaluation for key health sector program areas; HIV and AIDS, STDs, TB, maternal health, family planning, child health and reproductive health.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the learners should be able to:
• Understand monitoring and evaluation (M&E) of health programs
• Design a health project using logical framework
• Develop indicators and targets for each result level
• Track performance indicators over the life of the project
• Evaluation a health project against planned outcomes
• Develop and implement an M&E system
• Develop a comprehensive monitoring and evaluation plan

COURSE OUTLINE
Module 1
Introduction to Strategic Information in Health Programs
• Need for reliable information in health programs
• Components of strategic information
• Uses of strategic information
• Strategic information and program life cycle
• Decision making using strategic information

M&E System Strengthening for Health Programs
• Why M&E System strengthening in health?
• Use of M&E System strengthening tool
• Content of M&E System strengthening tool

Module 2
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

M&E Frameworks
• Conceptual Frameworks
• Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of projects using LogFrame

M&E Health Indicators
• Indicators selection
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

Module 3
M&E Plans in Health Programs
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of M&E Plan-Monitoring and Evaluation components
• Using M&E Plan to implement M&E in a Project

Gender Perspective in M&E for Health Programs
• Importance of gender in M&E
• Integrating gender into program logic
• Setting gender sensitive indicators
• Collecting gender disaggregated data
• Analyzing M&E data from a gender perspective
• Appraisal of projects from a gender perspective
• Issues with integrating gender into M&E

Module 4
Health Programs Evaluation
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation findings sharing and dissemination

Impact Evaluation in Health Programs
• Why impact evaluation is important
• Project attribution
• Counterfactual in IE
• IE Methods; Difference in Difference & Propensity score matching

Module 5
M&E Results Use and Dissemination
• Data demand and use in health programs
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting format
• M&E results communication strategies


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 19th March 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
22nd -02nd /04/2021 : Monitoring and Evaluation for Development Results

12th -23rd /04/2021 : Monitoring and Evaluation for Development Results

17th – 28th /05/2021 :Monitoring and Evaluation for Development Results

14th – 25th /06/2021 : Monitoring and Evaluation for Development Results

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 1600
: Online Training USD 1400

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
This course brings learning into practice and enables you to understand the importance of using information and knowledge for evidence-based strategic decision making. M&E for Results is for managers and monitoring and evaluation officers who need to supervise, manage, plan and implement M&E in their projects and programmes. No prior knowledge of M&E is necessary.

DURATION
10 Days

COURSE OBJECTIVES
Through a mix of practical activities, theory and examples of effective practice you will learn how to:
• Decide what and how to monitor with different stakeholders
• Clarify key results at the programme-level using logic models
• Plan a project using the logical framework
• Develop indicators and targets
• Use participatory methods for data collection and analysis
• Combine qualitative and quantitative approaches to gather and interpret data
• Design and manage evaluation
• Use your M&E findings to stimulate learning, improvement and stakeholder buy-in
• Develop and work with a practical M&E system.


COURSE OUTLINE
Module 1
Principles of M&E for Results: The changing role and practice of M&E
• M&E fundamentals
• Results approaches: outputs, outcomes and impact
• Relate M&E to your programme and project cycle
• Identify stakeholders and their differing needs and roles.

Module 2
Results framework
• Develop logic models
• Work with and beyond logframes.

Module 3
Developing M&E frameworks
• Criteria for indicators
• Develop project indicators
• Identify means of verification.

Module 4
Gathering data/information
• Quantitative and qualitative approaches and instruments
• Data organisation, quality assurance and analysis
• Design baseline, evaluation and impact studies

Module 5
M&E system and plan
• Prepare M&E plan
• M&E system

Module 6
Embedding key M&E practices and applying these to a local organisation
• Practice data gathering tools
• Use different tools to gather data in live context
• Field work reflection.

Module 7
Theory of Change
• Develop a theory of change from the live data gathered during fieldwork
• Relate theory of change thinking to M&E.

Module 8
Information for decision-making
• Review monitoring data
• Use M&E information and evidence for decision-making.

Module 9
Fostering a learning culture
• Identify ways to foster a learning culture
• Become m&e change agents and champions
• Coaching and preparation for participant presentations.

Module 10
Using what you have learnt
• Participant presentations
• Embedding learning for personal and organisational benefit
• Becoming change agents for M&E.


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 19th March 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
22nd -26th /03/2021 : Mobile Data Collection for M&E using ODK and Kobo Toolbox

19th -23rd /04/2021 : Mobile Data Collection for M&E using ODK and Kobo Toolbox

17th – 21st /05/2021: Mobile Data Collection for M&E using ODK and Kobo Toolbox

21st – 26th /06/2021 : Mobile Data Collection for M&E using ODK and Kobo Toolbox
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Data collection and monitoring and evaluation (M&E) have always been integral parts of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. Information and communication technology (ICT) tools, including hardware like mobile phones and tablets, applications with the capacity to create digital surveys, and software that allows users to upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E.

DURATION
5 Days.

COURSE OBJECTIVES
The course will introduce participants to tools and techniques to gather data for project/ programme outcomes to stakeholders using innovative Mobile data gathering tools.
At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

TOPICS TO BE COVERED
Module 1: Introduction
Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design
Getting started in ODK
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Module 2: Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
• Design forms using a web interface using:
o ODK Build
o Koboforms
o PurcForms
• Hands-on Exercise
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
o Using Google play
o Manual install (.apk files)
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
• Hands-on Exercise

Module 3: Designing forms and advanced survey authoring
Designing forms manually: Using XLS Forms
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
• Hands-on Exercise
Advanced survey Authoring
• Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
• Grouping questions
o Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Module 4: Hosting survey data
Hosting survey data (Online)
• ODK Aggregate
• Formhub
• ona.io
• KoboToolbox
• Uploading forms to the server
Hosting Survey Data (Configuring a local server)
Configuring ODK Aggregate on a local server
Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface

Module 5: Working with Spatial data (GPS Coordinates)
• Spatial Mapping
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 19th March 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Monitoring and Evaluation & Project Management courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
29th -02nd /04/2021 : Measuring and Analyzing Gender Equality and Social Inclusion in Project Management

12th -16th /05/2021 : Measuring and Analyzing Gender Equality and Social Inclusion in Project Management

17th – 21st /06/2021:Measuring and Analyzing Gender Equality and Social Inclusion in Project Management

12th – 16th /07/2021 : Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Whereas gender equality refers to the equal rights, responsibilities and opportunities of women and men and girls and boys, social exclusion is the involuntary exclusion of individuals and groups from society’s political, economic and societal processes, which prevents their full participation in the society in which they live. In project planning, design, implementation, monitoring and evaluation, there is need to identify key indicators that will help in measuring the impact of the project on all targeted individuals and genders. To do this, appropriate tools are necessary, particularly with respect to measuring gender equality and social inclusion. This 5 days course will equip participants with knowledge on the appropriate tools that can be used to measure the extent of social inclusion and impact of project on gender dimensions.
DURATION
5 days
WHO CAN ATTEND?
• Project managers
• Staff managing projects
• Staff in non-government organizations
• Donors
• government officials,
• CBO operatives, NGO employees,
• Anyone involved in project management activities
• humanitarian organizations,
• Development partners,
• Social Worker
• Community Counsellor
• Researchers
• Other institutions focused on gender equality

COURSE OBJECTIVES
At the end of the training participants will be:
• Participants will understand how to capture gender equality and social inclusion indicators
• Learn how is gender quality and social inclusion can be integrated in the project planning and implementation
• Learn how to analyse both qualitative and quantitative data to measure impact of project on gender equality and social inclusion

Module 1
• Definition of gender equality and social inclusion
• Gender and social inclusion indicators
• Understanding the Sustainable Development Goals on gender and Social inclusion indicators
• Gender equality and social inclusion performance indicators:
• Degree of influence of women, very poor people, and socially excluded groups in the project implementation

Module 2
• Progress of women’s involvement in the project
• How is gender equality and social inclusion can be integrated in the projects
• Understanding Gender Equality and Social Inclusion Strategy
• Importance of Gender Equality and Social Inclusion Strategy
• Understand the theory of change that project is underpinned

Module 3
• Mainstreaming Gender Equality and Social inclusion in projects and programmes
• Understanding the quantitative and qualitative indicators on gender equality and social inclusion to measure impact of projects
• Identifying the target of the project
• How to apply the ‘Do No Harm’ Principle
• Monitoring, Evaluation, Accountability and Learning
• Case study

Module 4
• Understanding the Six Domains for Inclusive Development Analysis
• Laws, policies, regulations, and institutional practices regarding men and women
• Cultural norms and beliefs that influence men and women roles
• Access to and control over assets and resources by men and women
• Patterns of power and decision-making
• Personal safety and security
• Data Collection Strategy

Module 5
• Types of data- Quantitative data and qualitative data
• Analysis of qualitative data using Nvivo
• Interpretation of results and report writing



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Measuring and Analyzing Gender Equality and Social Inclusion in Project Management
• Mobile Data Collection for M&E using ODK and Kobo Toolbox
• Monitoring and Evaluation for Development Results
• Monitoring and Evaluation for Health Sector Programmes
• Monitoring and Evaluation of Agricultural Programmes
• Monitoring and Evaluation of Food and Nutrition Security Programmes
• Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes
• Participatory Monitoring and Evaluation Methods
• Project Management, Monitoring and Evaluation using Microsoft Project
• Report Writing for Project Monitoring and Evaluation
• Result Based Monitoring and Evaluation

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 27th March 2021
Send proof of payment to training@fineresultsresearch.org
View our Monitoring and Evaluation & Project Management courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
22nd -26th /03/2021 : Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)

19th -23rd /04/2021 : Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)

17th– 21st /05/2021: Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)

14th– 18th /06/2021 : Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)





Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software's to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS), Stata and Microsoft Excel software has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. This software is user-friendly and reduces the time/efforts that the researcher employs in research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS, STATA and Microsoft Excel in data management, graphics and statistical analysis. At the end of the course, participants will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

DURATION
5 Days

LEARNING OBJECTIVES
By the end of the training, you will be able to:
• Understand both descriptive and inferential statistics
• Understand various data collection techniques and data processing methods
• Use mobile phones for data collection(Open data Kit)
• Use basic functions and navigation within Stata and SPSS software
• Create and manipulate graphs and figures in Stata and SPSS software
• Handle statistical data analysis tasks in Stata and SPSS software
• Export the results of your analyses.

TOPICS TO BE COVERED
Day 1:
Statistical Concepts
• Statistical Concepts
• Types of data
• Data Structures and Types of Variables
• Overview of SPSS

Statistical Inference
• Tests of Association
• Tests of Difference
• Hypothesis testing

Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design

Getting started in ODK
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Survey Authoring and Preparation of mobile phone for data collection
• Survey Authoring
• ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices

Designing forms and advanced survey authoring
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata

Advanced survey Authoring
• Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
• Grouping questions
o Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Hosting survey data (Online)
• ODK Aggregate
• Uploading the questionnaire to the server

Day 2:
Introduction to SPSS/Stata/Excel
• Installing the software(s)
• Software interfaces
• Working with the software (file management, editing functions, viewing options, etc)
• Output Management
• Basics programming of Stata and SPSS

Data Entry/Management
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recording and computing variables
• Restructuring data
• Replacing missing values
• Merging files and restructuring
• Splitting files, Selecting cases and weighing cases
• Syntax and output

Descriptive Statistics
Measures of Variability and Central Tendency
• Describing quantitative data
• Describing qualitative data

Graphics in Data Analysis
• Graphing quantitative data
• Graphing qualitative data
• Advanced graphics options

Day 3:
Quantitative Data Analysis (Part I)
Correlation
• Correlation of bivariate data
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Comparing Means
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA

Comparing Means Using Factorial ANOVA
• Factorial ANOVA Using GLM Univariate
• Simple Effects
Comparing Means Using Repeated Measures ANOVA
• Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
• Multiple Comparisons

Module 5: Quantitative Data Analysis (Part III)
Chi-Square
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables

Day 4:
Quantitative Data Analysis (Part II)
Regression Analysis
• Assumptions of selected types of regression
• Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression
• GLM Model
• The Problems with regression

Nonparametric Statistics
• Mann-Whitney Test
• Wilcoxon’s Matched Pairs Signed-Ranks Test
• Kruskal-Wallis One-Way ANOVA
• Friedman’s Rank Test for k Related Samples

Day 5:
Quantitative Data Analysis (Part III)
Survey estimation and inference for complex designs
• Introduction to survey data
• Introduction to complex sample designs, survey estimation and inference
• Multi-stage designs, stratification, cluster sampling, weighting, item missing data, finite population corrections
• Models and assumptions for inference from complex sample survey data
• Sampling distributions, confidence intervals
• Design effects.

Advanced analysis of complex survey data
• Bayesian Analysis of Complex Sample Survey Data
• Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
• Fitting Structural Equation Models to Complex Sample Survey Data
• Small Area Estimation and Complex Sample Survey Data
• Nonparametric Methods for Complex Sample Survey Data



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Information and Documentation Compliance
• Integrating Gender in Scientific Research to Enhance Adoption of Technologies
• Longitudinal/Panel and Time Series Data Analysis using Stata
• Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)
• Research Design, Data Management and Statistical Analysis using SPSS
• Research Methodology, Data Management, Analysis and Reporting using SPSS
• Research, Data management and Statistical Analysis using Stata
• Scientific Writing: Preparing a Manuscript for Publication in International Journals
• Statistical Data Analysis using Microsoft Excel

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 19th March 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
10th -14th /05/2021 : Longitudinal/Panel and Time Series Data Analysis using Stata

21st -26th /06/2021 : Longitudinal/Panel and Time Series Data Analysis using Stata

12th – 16th /07/2021: Longitudinal/Panel and Time Series Data Analysis using Stata

16th – 20th /08/2021 : Longitudinal/Panel and Time Series Data Analysis using Stata

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Longitudinal or panel data are multi-dimensional data involving measurements over time. Such data are analysed using dynamic model. Dynamic models have become increasingly popular due to their ability to take into account both short and long term effects and unobserved heterogeneity between economic agents in the estimation of the parameter estimates. Stata is very specialized in handling dynamic data.

This training course provides an overview of existing dynamic data analysis techniques. Participants will be taken through a series of illustrative examples, with a theoretical and applied overview. Recent issues in dynamic panel data analysis will also be covered. The course concludes by addressing the issues of; i) non-stationary in long panels, where the time series (as opposed to cross-sectional) characteristic of the data dominates; and ii) cointegration. The training will pay particular attention (using a combination of both official Stata and user written dynamic panel data analysis commands) to: i) evaluating which specific econometric methodology/specification is more appropriate for the analysis in hand; ii) selection of the appropriate instruments; iii) rigorous post estimation diagnostic/specification testing; and iv) the problems of inference resulted from weak-instrument bias, instrument-proliferation bias and small-sample bias. Special attention will also be given to the interpretation and presentation of results.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this training, participants will become knowledgeable in the following:
• Usefulness and problems with Panel Data
• Opportunities and challenges of panel data.
• Linear models data analysis with dynamic data
• Logistic regression models with dynamic data
• Count data models with dynamic data
• Linear structural equation models with dynamic data

COURSE OUTLINE
Module 1: Introduction
Introduction to Panel Data
• Why Are Panel Data Desirable?
• Problems with Panel Data
• Examples of Time-varying and time-invariant variables

Opportunities and challenges of panel data.
• Data requirements
• Control for unobservable
• Determining causal order
• Problem of dependence
• Software considerations

Module 2: Linear models
• Robust standard errors
• Generalized estimating equations
• Random effects models
• Fixed effects models
• Between-within models

Module 3: Logistic regression models
• Robust standard errors
• GEE
• Subject-specific vs. population averaged methods
• Random effects models
• Fixed effects models
• Between-within models

Module 4: Count data models
• Poisson models
• Negative binomial models

Module 5: Linear structural equation models
• Fixed and random effects in the SEM context
• Models for reciprocal causation with lagged effects



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES

• Information and Documentation Compliance
• Integrating Gender in Scientific Research to Enhance Adoption of Technologies
• Longitudinal/Panel and Time Series Data Analysis using Stata
• Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)
• Research Design, Data Management and Statistical Analysis using SPSS
• Research Methodology, Data Management, Analysis and Reporting using SPSS
• Research, Data management and Statistical Analysis using Stata
• Scientific Writing: Preparing a Manuscript for Publication in International Journals
• Statistical Data Analysis using Microsoft Excel

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 7th May 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
05th -09th /04/2021 : Information and Documentation Compliance

10th -14th /05/2021 : Information and Documentation Compliance

14th – 18th /06/2021: Information and Documentation Compliance

12th – 16th /07/2021 : Information and Documentation Compliance

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
The significance of accurate documentation of information, management and storage including organization documents which are either in paper form or in electronic form enhance safety of information and easy retrieval of the documents when they are needed and therefore saving time that can be used to improve the productivity in the work place. Moreover, proper record storage results in required compliance and governance. At the end of this course participants are expected to gain knowledge on digital information management, manage both paper and digital documents and records effectively throughout the record lifecycle, understand information and documentation compliance, enterprise content management, information-related regulations, standards and best practice and its successful implementation.

DURATION
5 Days

WHO SHOULD ATTEND?
This course targets records managers, Information Technology (IT) Managers, users of document and records management, archivists, secretaries and any other person in charge of records keeping and management in an organization.

COURSE OBJECTIVES
By the end of the course, participants will be able to:
• Learn components, legal obligations and international standards for electronic documents and records management systems (EDRMS)
• Understand Magement of electronic information
• Learn and understand record processing and archiving
• Implement a record management system
• Learn the best record management practices
• Understand monitoring and controlling of a record management system
• Learn on setting up access controls and security procedures
• Learn how to implement legislation, standards, and regulation

TOPICS TO BE COVERED
Module 1: Records Management Fundamentals
• Introduction to different types of records
• Sources and uses of records and information
• Records content context and structure
• Document and records lifecycle
• Record management
• Records management regulatory environment
• Record management system characteristics
• Record management system components
• Policies and standards in record keeping

Module 2: Record Management Processes
• Identification of documents to be captured as records
• Record life cycle management best practices
→ Capture of records
→ Registration of records
→ Classification of records
→ Storage of records
→ Access to records
→ Tracking of records
• Records disposal implementation
• Records management process documentation

Module 3:
Records Control
• Records Metadata schema
• Business classification schemes
• Permission and access rules
• Disposition authorities

Records Management Policy
• Records management policy objectives
• Responsibilities of Record management
• Record management policy Key provisions
• Training and Competence

Module 4:
Protecting Vital Records
• Potential hazards assessment
• Policy and procedures that protect important documents
• Methods of protecting records
• Vital documents protection plan implementation

Monitoring and Auditing of Records Management System
• Undertaking regular management policy, plan, system and guidelines reviews of records
• Compliance to records management guidelines monitoring
• Records management policy changes

Visit to an organization to learn how they manage their documents and records

Module 5: Electronic Records Management and Records Management Standards
• Electronic records types
• Introducing Electronic Records Management
• ERM management challenges
• Electronic Recordkeeping System (ERKS)
• Implementation issues of ERM and ERKS



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details




VIEW RELATED COURSES

• Information and Documentation Compliance
• Integrating Gender in Scientific Research to Enhance Adoption of Technologies
• Longitudinal/Panel and Time Series Data Analysis using Stata
• Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)
• Research Design, Data Management and Statistical Analysis using SPSS
• Research Methodology, Data Management, Analysis and Reporting using SPSS
• Research, Data management and Statistical Analysis using Stata
• Scientific Writing: Preparing a Manuscript for Publication in International Journals
• Statistical Data Analysis using Microsoft Excel

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
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 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 3rd April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
12th -23rd /04/2021 : Epidemiology and Bio-statistics using Stata

17th -28th /05/2021 : Epidemiology and Bio-statistics using Stata

14th – 25th /06/2021: Epidemiology and Bio-statistics using Stata

12th – 23rd /07/2021 : Epidemiology and Bio-statistics using Stata

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 1600
: Online Training USD 1400

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistician tools to describe monitor and investigate the determinants of population health. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively. The course targets health care professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today.

DURATION
10 Days

COURSE OBJECTIVES
At the end of the course, participants will be able to:
• Use epidemiological and biostatistical tools to describe, monitor and investigate the determinants of population health.
• Gain key statistical background necessary for conducting valid research
• Describe and summarize data
• Develop hypothesis and analyze data.
• Interpret and communicate results

Module 1:
1. Data management & graphics in Stata
Introduction to Stata
• Starting Stata
• Setting layout
• Directory management commands
• Data types in Stata
• Using Stata as a calculator
• Stata command and options
• Stata do-files
• Creating data sets directly in Stata
• Rename of variables
• Managing variables and/or variable properties
• Importing data from other software
• Exporting data to other software
• Loading data into the memory
• The in and if qualifiers
• The by prefix
• Create subsets (keep and drop)
• Create random variables (from distributions)
• Random sampling
• Sort variables
• Change order of variables
• Count number of observations
• Generate sequential numbers
• Working with dates
• Viewing data sets
• Interrupting computations
• Help

Module 2:
Creating and changing variables
• Create new variables
• Extended generate command
• Duplicate an existing variable
• Replace contents of a variable
• Convert numeric to string
• Convert string numbers to numeric
• Convert numeric values to missing and vice versa
• Recode string variables
• Decode numerically coded variables
• Transforming a continuous variable to categorical
• Reduce number of categories of a categorical variable
• Managing duplicates

Transforming variables and data sets
• Split variables
• Extract parts of variables
• Standardize variables
• Create dummy variables
• Create separate variables
• Transpose variables
• Stack variables
• Unstack variables
• Appending data sets
• Combining data sets by a common variable
• Convert datasets from wide to long
• Convert datasets from long to wide
• Some application to data cleaning

Introduction to Stata graphics
• The graphics dialog windows
• Graph elements (x and y labels, titles, legends)
• Graph appearance (marker symbol, color, size, line
• width, pattern, e.t.c)
• Multiple graphs (by option)
• Graphics syntax
• Adding text and annotations to graphs
• Saving and printing graphs
• Combining active graphs into one figure
• Graphics window (interactive plotting)
• Common graphs and charts

Module 3:
2. Biostatistics
Introduction to statistical concepts
• Review of research process
• Research designs
• Sampling techniques
• Types of data
• Descriptive statistics
• Graphs for descriptive statistics
Hypothesis testing
• Definitions
• Statistical inference
• Generalizability
• Confidence intervals in clinical research
• P-values in clinical research
• Hypothesis testing
• Interpreting hypothesis test results

Tests of differences in population means
• One sample t tests
• Two sample independent t tests
• Two sample paired t test
• One way analysis of variance
• Two way analysis of variance

Module 4:
Analysis of contingency tables
• Introduction
• Two by two tables: Proportion test
• Two by two tables: Fisher’s exact test
• McNemar matched pairs for binary response
• Other measures of association

Non-parametric methods
• Sign test
• Wilcoxon signed-rank test
• Median test
• Wilcoxon signed-sum (Mann-Whitney) test
• Kolmogorov-Sminorv goodness-of-fit test
• Kruskal-Wallis one way analysis of variance
• Friedman two-way analysis of variance
• Spearman rank correlation
• Nonparametric regression analysis

Linear regression and correlation
• Overview
• Pearson correlation analysis
• Simple linear regression
• Multiple linear regression
• Interpret results from linear regression
• Regression diagnostics

Module 5:
3. Epidemiology
Measures of disease frequency
• Importance of measures of disease frequency
• Measures of risk and association
• Risk verses prevention
• Prevalence
• Incidence, cumulative incidence & incidence density
• Relationship between prevalence and incidence
• Stratification of disease frequency

Module 6:
Measures of effect for categorical data
• Risk difference
• Risk ratio
• Attribute fraction
• Attribute risk
• Relative risk
• Odds ratio

Measures of effect for stratified categorical data
• Mantel-Haenzsel test
• Odds ratio for stratified data
• Odds ratio for matched pairs studies
• Testing for trends

Vital statistics
• Introduction
• Death rates and ratios
• Measures of fertility
• Measures of morbidity

Clinical research designs
• Study population
• Exposure and outcome
• Study designs
• Causation

Module 7:
Case report and series
Cross-sectional studies
Cohort studies
• Cohort study design
• Ascertainment
• Advantages
• Disadvantages
• Poisson regression for cohort studies

Case-control studies
• Case-control study design
• Advantages
• Disadvantages
• Unconditional logistic regression
• Conditional logistic regression

Misclassification
• Definition
• Non-differential misclassification
• Differential misclassification
• Assessing misclassification

Module 8:
Confounding
• Confounding overview
• Evaluation of confounding factors
• Confounding by indication

Remedies for confounding
• Restriction
• Stratification
• Matching
• Regression
• Randomization
• Interpretation after adjusting for confounding
• Unadjusted verse adjusted association: confounding

Effect modification
• Overview
• Synergy between exposure variables
• Effect modification verses confounding
• Evaluation of effect modification
• Effect modification in clinical research articles
• Effect modification on the relative and absolute scales

Module 9:
Introduction to survival analysis
• Overview
• Organizing survival data for computer use
• Censoring (right and left)
• Truncation (right and left)
• Plotting survival data (the Kaplan-Meier curve)
• Log-rank tests
• Hazard rates
• Cox proportional hazard models

Module 10:
Research ethics and statistics
• Introduction
• Protection of human research subjects
• Informed consent
• Equipoise
• Research integrity
• Authorship policies
• Data and safety monitoring boards



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details


VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 9th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Data Collection and Processing using CSPro

17th -21st /05/2021 : Data Collection and Processing using CSPro

14th – 18th /06/2021: Data Collection and Processing using CSPro

16th – 25th /07/2021 : Data Collection and Processing using CSPro

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
The Census and Survey Processing System (CSPro) is a public domain software package used by hundreds of organizations and tens of thousands of individuals for entering, editing, tabulating, and disseminating census and survey data. CSPro is designed to be as user-friendly as possible, yet powerful enough to handle the most complex applications. It can be used by a wide range of people, from non-technical staff assistants to senior demographers and programmers. CSPro supports data collection on android devices (phones and tablets). The CSEntry Android App works in collaboration with the desktop version of of CSPro. CSPro supports smart data transfer from Android or Windows devices to a server running CSWeb. This training is very practical consisting of demonstrations, practical exercises, and tests.

DURATION
5 days

COURSE OBJECTIVES
Participants will learn;
• How to create the data dictionary, data entry screen and how to program checks and skips.
• How data is stored in the system
• Add, modify, verify and view cases (questionnaires).
• Identify and report structure, value, and consistency errors in questionnaire data.
• Produce tables
• Define simple or complex hierarchical file organization.
• Define hierarchical levels, identification items, records, items (fields or variables), value sets (categories of values), and values.
• Export selected data variables to delimited (tab, comma, semicolon), SAS, SPSS, Stata, R, or CSPro formatted data files.

TOPICS TO BE COVERED
Module 1: Introduction
• Flow chart of Data Processing
• Data Processing and Data Collection
• Field Operations
• Data editing and coding
• Data Entry and Cleaning
• Introduction to CSPro
• Installation of CSpro
• CSPro General Concepts
• CSPro capabilities
• CSPro applications

Module 2: Data Dictionary
• Introduction to Data Dictionary
• Dictionary Concepts and Fundamentals
• Creating Dictionary
• Identification Items
• Adding and Naming Dictionary Elements
• Levels, Records (Adding and Modifying)
• Item/Item Representations/Subitems
• Value Set/Special Values
• Modifying the Dictionary elements
• Document Dictionary Items
• Relative and absolute positioning
• Adding and modifying relations
• Modifying Item Lengths and Dictionary Macros

Module 3: Data Entry Forms
• Creating Data Entry Application
• Generating Data Entry Forms
• Data entry Tree
• Running Data Entry Application
• Changing data entry Characteristics
• Data Entry Editing
• Computer-Assisted Personal Interviewing(CAPI) data Entry

Module 4: Introduction to Batch Applications and Data Entry Operation
• Introduction to Batch Applications
• Batch Editing
• Planning a Data Entry Operation
• Operator and System Controlled Modes
• Operator-Controlled Mode
• System-Controlled Mode
• Skips

Module 5: Tabulation and Data Export to other formats
• Tabulation Applications
• Selecting a Tabulation Application to Run
• Defining File Associations
• Table viewer
• Formatting tables
• Export selected data variables to other formats (SPSS, Stata, Excel etc.)



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details


VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 16th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
15th -26th /03/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

12th -23rd /04/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

17th – 28th /05/2021: Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

14th – 25th /06/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 1600
: Online Training USD 1400

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Evidenced based policies for sustainable development and better lives call for better data. Improving the capacity of people involved in data collection, analysis and report writing in ensuring quality data is of significance. Following the changing data environment from use of paper in capturing data to use of digital innovation, there is need to train actors involved in data collection to help them adapt to the upcoming innovations and technologies. Some of the data that are collected through the new technologies include geospatial data, mobile phone, administrative data and citizen-generated data among others. This 10 days course will equip participants with knowledge on research design, designing data collection tools in mobile data collection enabled software, GIS and remote sensing, exporting data to various data collection software, data analysis and interpretation.
DURATION
10 days
WHO SHOULD ATTEND?
• Policy makers
• Researchers
• NGO and civil society staffs
• Educators
• Post graduate students
• Private sector representatives
• Media staffs
• Civil Society Organizations
LEARNING OBJECTIVES
At the end of training participants will:
• Understand various data collection techniques and data processing methods
• Design data collection tools in google phone/ ODK/CTO/ CSpro (participants’ choice)
• Learn how to use mobile phones in data collection(Open data Kit/CTO/CSpro)
• Learn how to integrate socio economic data with GPS coordinates
• Learn how to draw maps using ArcGIS among other software
• Learn how to analyze and visualize data with the aid of GIS techniques

Module 1: Statistical Concepts
• Types of data
• Data Structures and types of variables
• Overviews of software used to digitize paper data collection tools (ODK/CTO/)
• Comparative analysis of various software used to digitize paper data collection tools (ODK/CTO)

Module 2: Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms

Module 3: Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design
Module 4: Getting started in ODK/CTO
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia
Survey Authoring and Preparation of mobile phone for data collection
• Survey Authoring
• ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices

Module 5: Designing forms and advanced survey authoring
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
Advanced survey Authoring
• Conditional Survey Branching
• Required questions
• Constraining responses
• Skip: Asking Relevant questions
• The specify other
• Grouping questions
• Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations
Hosting survey data (Online)
• ODK Aggregate
• Uploading the questionnaire to the server
Module 6: Introduction to concepts of GIS and remote sensing
• Spatial data collection techniques
• Using GPS
• Using GPS utility software for managing and downloading and managing data
• Working with data from different sources

Module7: Attributes manipulation in GIS
• GIS software
• GIS system installation and setup
• GIS Data sources and types
• Using Mobile Phones for GIS data collection(ODK and KoBoToolbox
• Importing GPS data to Quantum GIS
Module 8: Visualizing data
• Understand map layers in GIS
• Composing a GIS layout from GIS layers
• Difference between a map and a layout
• Navigate maps
Module 9: Bringing tabular/spreadsheet data into a GIS (Excel, SPSS, Access )
• Connecting visual map features and tabular data
• Selecting subsets of map features from geo processing
• Finding map features
• Use data sorting records and labeling features to produce information
• Key elements of a map
• Composing a map
Module 10: Data interpretation and report writing
• Different research outputs
• Writing different research outputs from analysed data (case studies, success stories, policy briefs, evidence briefs, journal articles e.t.c)



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org


REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details


VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 13th March 2021
Send proof of payment to training@fineresultsresearch.org

View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Analysis of Qualitative Data using NVivo

17th -21st /05/2021 : Analysis of Qualitative Data using NVivo

14th – 18th /06/2021: Analysis of Qualitative Data using NVivo

19th – 23rd /07/2021 : Analysis of Qualitative Data using NVivo

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Managing and analyzing qualitative data can be a trying experience. Qualitative data is multifaceted, rich in nature, unstructured and at times can be overwhelming where the researcher will be provided with information beyond the scope of the study. Combining a qualitative research data management and data analysis with technology is frown by some qualitative researchers. Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process.
This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVivo qualitative software. This software has many features that can assist to simplify the whole process of doing qualitative research.

DURATION
5 Days

COURSE OBJECTIVES
By the end of the course the learner should be able to:
• Understand qualitative analysis approaches
• Understand different qualitative data collection methods
• Set up a project in NVivo
• Create a framework for qualitative data analysis using NVivo
• Carry out qualitative data analysis using NVivo
• Write a qualitative report

COURSE OUTLINE
Module 1: Introduction
Introduction to Qualitative Research
• What is qualitative research?
• Dimensions of qualitative methods
• Qualitative research approaches
• Qualitative data collection methods
• Qualitative research study design

Preliminaries of Qualitative data Analysis
• What is qualitative data analysis
• Approaches in Qualitative data analysis; deductive and inductive approach
• Points of focus in analysis of text data
• Principles of Qualitative data analysis
• Process of Qualitative data analysis

Introduction to NVivo
• NVivo Key terms
• NVivo interface
• NVivo workspace
• Use of NVivo ribbons


Module 2: Project Management
NVivo Projects
• Creating new projects
• Merging, importing and exporting projects
• Managing projects
• Working with different data sources

Nodes in NVivo
• Theme codes
• Case nodes
• Relationships nodes
• Node matrices

Classifications
• Source classifications
• Case classifications
• Node classifications

Module 3: Coding and Analysis
Coding
• Data-driven vs theory-driven coding
• Analytic coding
• Descriptive coding
• Thematic coding
• Tree coding

Thematic Analysis using NVivo
• Organize, store and retrieve data
• Cluster sources based on the words they contain
• Text searches and word counts through word frequency queries.
• Examine themes and structure in your content

Memos Annotations and Links
• Linked memos
• Adding annotation to selected content
• See also link

Queries using NVivo
• Queries for textual analysis
• Queries for exploring coding

Module 4: Analysis, interpretation and visualization
Building on the Analysis
• Content Analysis; Descriptive, interpretative
• Narrative Analysis
• Discourse Analysis
• Grounded Theory

Qualitative Analysis Results Interpretation
• Comparing analysis results with research questions
• Summarizing finding under major categories
• Drawing conclusions and lessons learned

Visualizing NVivo project
• Display data in charts
• Creating models and graphs to visualize connections
• Tree maps and cluster analysis diagrams

Module 5: Triangulation of Data Sources and Reporting
Triangulation of Data Sources
• Triangulating with quantitative data
• Using different participatory techniques to measure the same indicator
• Comparing analysis from different data sources
• Checking the consistency on respondent on similar topic

Qualitative Report Writing
• Qualitative report format
• Reporting qualitative research
• Reporting content
• Interpretation



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org




REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 16th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Analysis of Complex Sample Survey Data using Stata

24th -28th /05/2021 : Analysis of Complex Sample Survey Data using Stata

21st – 25th /06/2021: Analysis of Complex Sample Survey Data using Stata

19th – 23rd /07/2021 : Analysis of Complex Sample Survey Data using Stata

Venue: FineResults Research Services, Nairobi, Kenya Training Centre.

Click to Register: Physical class USD 800
: Online Training USD 700

Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
Standard courses on statistical analysis assume that survey data arise from a simple random sample of the target population. Little attention is given to characteristics often associated with survey data, including missing data, unequal probabilities of selection, stratified multistage sample designs, and measurement errors. Most standard statistical procedures in software packages commonly used for data analysis do not allow the analyst to take these properties of survey data into account unless specialized survey procedures are used. Failure to do so can have an important impact on the results of all types of analyses, ranging from simple descriptive statistics to estimates of parameters of multivariate models. This course provides an introduction to specialized software procedures that have been developed for the analysis of complex sample survey data including testing for between-group differences in means and proportions, regression analysis, logistic regression and multilevel modeling. We will also consider the consequences of non response and missing data on survey analysis and methods for dealing with missing data. Specialized procedures for survey data analysis from the Stata systems for data management and analysis will be used to develop course examples and exercises

LEARNING OBJECTIVES
At the end of the training, participant will understand:
• Descriptive and inferential statistics
• Various data collection techniques and data processing methods e.g. Open data Kit (ODK)
• How to create and manipulate graphs and figures in STATA
• How to use STATA effectively for manipulating and analysing data.

DURATION
5 Days

COURSE OUTLINE
Module 1:
Introduction to Statistics, Data Collection, Processing and STATA
• Introduction to Statistics Concepts
• Data Processing and Management with STATA
• Concepts and Software and technologies for Data Collection and Processing
• Data Processing and Management with STATA

STATA Basics
• Data Structures and Types of Variables
• Data Management using STATA
• Output management and tabulating data with STATA
• Output Management
• Basics of STATA programming
• Tabulating data with STATA

Module 2:
Survey estimation and inference for complex designs
• Complex sample designs, survey estimation and inference
• Multi-stage designs, stratification, cluster sampling, weighting, item missing data, finite population corrections
• Models and assumptions for inference from complex sample survey data
• Sampling distributions, confidence intervals
• Design effects.

Module 3:
Basic STATA Graphics
• Basics of graphing
• Graphing quantitative
• Graphing qualitative data
• Advanced graphing

Statistical Inference
• Tests of Association
• Tests of Difference
• Hypothesis testing

Regression Analysis using STATA
• Linear Regression
• Multiple Regressions
• Binary regression
• Logistic Regression
• GLM Model
• The Problems with regression

Module 4:
Advanced analysis of complex survey data
• Introduction to survey data
• Bayesian Analysis of Complex Sample Survey Data
• Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
• Fitting Structural Equation Models to Complex Sample Survey Data
• Small Area Estimation and Complex Sample Survey Data
• Nonparametric Methods for Complex Sample Survey Data

Panel data analysis
• Introduction to panel data analysis
• Advanced longitudinal/panel data analysis

Module 5:
Time series Analysis
• Basic elements of time-series analysis
• Managing and summarizing time-series data
• Univariate models
• Introduction to forecasting in STATA



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org




REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 17th April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
05th -09th /04/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

17th -21st /05/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

14th – 18th /06/2021: Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)


19th – 23rd /07/2021 : Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)





Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295)

INTRODUCTION
SPSS means Statistical Package for the Social Sciences, and it is appropriate for complex statistical data analysis of social science data. SPSS software allows for thorough data management in terms of organizing and managing data and also offers the user a lot of control. Other benefits of the software in data analysis includes it is good in data screening and cleaning, Better organization of the output in a separate window with the data editor window which avoid any data being deleted. This 5 days course intend to equip participants with advanced techniques using SPSS software.

DURATION
5 days

TARGET PARTICIPANTS
Researchers, students, anyone who interested in enhancing his/ her data analysis skills

COURSE OBJECTIVES
By the end of the training, you will be able to:
• Understand both descriptive and inferential statistics
• Understand various data collection techniques and data processing methods
• Use basic functions and navigation within Stata and SPSS software
• Create and manipulate graphs and figures in SPSS software
• Handle statistical data analysis tasks in SPSS software
• Export the results of your analyses.

TOPICS TO BE COVERED
Module 1: Statistical Concepts
• Statistical Concepts
• Types of data
• Data Structures and Types of Variables
• Overview of SPSS
• Working with the SPSS software (file management, editing functions, viewing options, etc)
• Output Management
• Basics programming of SPSS

Module 2: Data Entry/Management
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recording and computing variables
• Restructuring data
• Replacing missing values
• Merging files and restructuring
• Splitting files, Selecting cases and weighing cases
• Syntax and output

Module 3:
Statistical Inference and Descriptive Statistics
• Tests of Association
• Tests of Difference
• Hypothesis testing

Measures of Variability and Central Tendency
• Describing quantitative data
• Describing qualitative data

Graphics in Data Analysis
• Graphing quantitative data
• Graphing qualitative data
• Advanced graphics options

Correlation
• Correlation of bivariate data
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Module 4: Test statistics and tests of associations
Comparing Means
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA
• MANOVA: multivariate analysis of variance
• Repeated Measures ANOVA

Tests of associations
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables
• Pearson Correlation
• Spearman Correlation

Nonparametric Statistics
• Mann-Whitney Test
• Wilcoxon’s Matched Pairs Signed-Ranks Test
• Kruskal-Wallis One-Way ANOVA
• Friedman’s Rank Test for k Related Samples

Comparing Means Using Factorial ANOVA
• Factorial ANOVA Using GLM Univariate
• Simple Effects

Module 5:
Comparing Means Using Repeated Measures ANOVA
• Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
• Multiple Comparisons

Other topics
• Multiple Regression Analysis
• Logistic regression (Binary & Multinomial)
• Cluster Analysis
• Factor analysis



TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org




REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.

Visit our website for more details

VIEW RELATED COURSES
• Analysis of Complex Sample Survey Data using Stata
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS
• Data Collection and Processing using CSPro
• Discrete Choice modeling through theory and practice
• Effective Communication of Research Findings with Users of Knowledge for Impact
• Effective Data Collection, Management and Visualization
• Epidemiology and Bio-statistics using Stata
• Information and Documentation Compliance

THE MOST POPULAR COURSES
 GIS using ArcGIS Desktop
 Effective Project Proposal and Report Writing
 Agriculture, Innovation and Technology for Sustainable Development
 Scientific Writing: Preparing a Manuscript for Publication in International Journals
 Effective B2B & Trade Marketing Strategies
 Accounting & Finance for Non-Financial Professionals using QuickBooks
 Post-Disaster Economic Recovery and Sustainable Livelihood Restoration
 Collection and management of Research data using ODK and Kobo Toolbox
 Developing and Leading High Performing Teams

Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 2nd April 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295