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Events / Integrating Gender In Scientific Research Course by FINERESULTS(m): 2:00pm On Jan 12
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

29/01/2024-02/02/2024 Integrating Gender in Scientific Research Course

29/04/2024-02/02/2024 Integrating Gender in Scientific Research Course

29/07/2024-02/08/2024 Integrating Gender in Scientific Research Course

28/10/2024-01/11/2024 Integrating Gender in Scientific Research Course

Introduction
Scientific research may not be completely objective if it is not gender sensitive. This is because gender norms affect who does the research, how research is prioritized, how the research is designed and conducted, and how data is interpreted and shared as well as the impact of the research at the community level and globally. Also, many countries have adopted Sustainable Development Goals (SDGs) that besides having a gender equality goal every other goal has a gender dimension in it. To establish the implementation of these goals, development research is led by science. Therefore, if science is gender biased then the research will not produce the right results. For research to ensure equal benefits between men and women, it is imperative to integrate gender dimensions into your research right from the proposal planning stage and throughout the entire cycle of research. This means being gender sensitive beginning from proposal development, implementation all the way to realizing the impact of research. Similarly, gender norms and gender inequality within the cultural context where scaling is taking place influence uptake of technologies. Therefore, failing to take into account gender differences in needs, preferences, roles and responsibilities, decision-making, access to and control of resources that includes (land, labor, inputs, credits and revenue), and power imbalances can limit the adoption of technologies and also lead to research providing recommendations that are not gender inclusive. Consequently, the research can result in the development of policies, legal frameworks and laws that are gender biased thereby perpetuate gender inequality. Integrating gender into scientific research will improve the quality and relevance of research, and lead to new ideas and ways of thinking about issues, and new interpretations of data. This will contribute to innovation, and will improve the outcomes of the research for both women and men, and for entire society at large.

DURATION
5 Days

WHO SHOULD ATTEND?
The course target researchers, students and statistics producers and users who aim to influence the process of gender statistics collection, analysis and use. This includes policymakers and staff from government agencies.

COURSE OBJECTIVES
By the end of the course, learners will learn:
• What integrating gender into research means
• Importance of integrating gender into scientific research
• Learn how to integrate gender dimensions into the different stages of scientific research
• How to integrate gender for better research quality, output and impact
• How to ensure your research informs wider global agendas such as the Sustainable Development Goals (SDGs)
• How to ensure your research contributes to change in the community life

TOPICS TO BE COVERED
Module 1: Relationship between gender and scientific research
• Definition of gender and how it relates to scientific research
• Definitions of key terms related to gender
• Importance of integrating Gender into the scientific research
• Importance of integrating gender dimensions to the scientific research
• Different needs, priorities and roles between men and women
• How to ensure production of innovative research and better results

Module 2: Integrating gender dimensions in scientific research
• Integrating gender dimensions into the different stages of scientific research
• Difference between gender mainstreaming and gender-focused approach
• Setting research goals - From gender aware to gender transformative research
• Choosing methodologies and undertaking research

Module 3: Setting your research agenda
• Importance of aligning your research with global frameworks
• Definition of Sustainable Development Goals (SDGs)
• Gender and the SDGs: Links, gaps and opportunities for scientific research

Module 4: Study trip

Module 5: Effective research communication for influencing change
• Definition of advocacy and its relevance for your research
• Identifying the audience you want to influence and what do you want them to do
• Ensuring effective advocacy by choosing the right communication channel and right recipient

***************************

Training Fee
Cost:
In-person USD 1000
Online USD 900
Registration
January in-person/online
April in-person/online
July in-person/online
October in-person/online

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: +254 732 776 700 or +254 759 285 295. You can also email us on: 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: +254 732 776 700/+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.
Events / Information And Documentation Compliance by FINERESULTS(m): 12:02pm On Jan 12
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

29/01/2024-02/02/2024 Information and Documentation Compliance
29/04/2024-03/05/2024 Information and Documentation Compliance
29/07/2024-02/08/2024 Information and Documentation Compliance
28/10/2024-01/11/2024 Information and Documentation Compliance
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 Fee
Cost:
In-person USD 1000
Registration
January in-person/online
April in-person/online
July in-person/online
October in-person/online

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: +254 732 776 700 or +254 759 285 295. You can also email us on: 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: +254 732 776 700/+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.
Events / Epidemiology And Bio-statistics Using Stata by FINERESULTS(m): 10:14am On Jan 12
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
29/01/2024-09/02/2024 Epidemiology and Bio-Statistics Using Stata
29/04/2024-10/05/2024 Epidemiology and Bio-Statistics Using Stata
29/07/2024-09/08/2024 Epidemiology and Bio-Statistics Using Stata
28/10/2024-08/11/2024 Epidemiology and Bio-Statistics Using Stata
Introduction
Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistical 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 Fee
Cost:
In-person USD 1900
Registration
January in-person/online
April in-person/online
July in-person/online
October in-person/online

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: +254 732 776 700 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: +254 732 776 700 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.
Events / Effective Data Collection Management And Visualization by FINERESULTS(m): 9:33am On Jan 12
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
29/01/2024-02/02/2024 Effective Data Collection Methods, Management and Visualization
29/04/2024-03/05/2024 Effective Data Collection Methods, Management and Visualization
29/07/2024-02/08/2024 Effective Data Collection Methods, Management and Visualization
28/10/2024-01/11/2024 Effective Data Collection Methods, 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 five-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:
• 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

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
→ 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 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 Fee
Cost:
In-person USD 1000
Online USD 900
Registration
January in-person/online
April in-person/online
July in-person/online
October in-person/online

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: +254 732 776 700 or +254 759 285 295. You can also email us on: 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: +254 732 776 700/+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.
Events / Advanced Statistical Analysis Using Statistical Package For Social Sciences SPSS by FINERESULTS(m): 7:42am On Jan 09
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
05/02/2024-09/02/2024 Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS
13/05/2024-17/05/2024 Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS
19/08/2024-23/08/2024 Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS
04/11/2024-08/11/2024 Advanced Statistical Analysis Using Statistical Package for Social Sciences SPSS

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: +254 732 776 700 or +254 759 285 295. You can also email us on: 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: +254 732 776 700/+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.
Events / Analysis Of Qualitative Data Using Nvivo by FINERESULTS(m): 4:04pm On Jan 08
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
05/02/2024-09/02/2024 Analysis of Qualitative Data Using NVivo
13/05/2024-17/05/2024 Analysis of Qualitative Data Using NVivo
19/08/2024-23/08/2024 Analysis of Qualitative Data Using NVivo
04/11/2024-08/11/2024 Analysis of Qualitative Data Using NVivo

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 or Email.

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

Training Fee
Cost:
In-person USD 1000
Online USD 900
Registration
February in-person/online
May in-person/online
August in-person/online
November 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 the organization email.
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 or Email.

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

Cancellation Policy
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Events / Analysis Of Complex Sample Survey Data Using Stata by FINERESULTS(m): 11:40am On Jan 08
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

05/02/2024-09/02/2024Analysis of Complex Sample Survey Data Using Stata

13/05/2024-17/05/2024 Analysis of Complex Sample Survey Data Using Stata

19/08/2024-23/08/2024Analysis of Complex Sample Survey Data Using Stata

04/11/2024-08/11/2024Analysis of Complex Sample Survey Data Using Stata



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
Cost:
In-person USD 1000
Online USD 900
Registration
February in-person/online
May in-person/online
August in-person/online
November 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.
Events / Mathematical Modelling Of Infectious Diseases In Epidemiology Using R by FINERESULTS(m): 10:59am On Jan 08
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
22/01/2024-02/02/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
08/04/2024-19/04/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
01/07/2024-12/07/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
07/10/2024-18/10/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
INTRODUCTION
Infectious diseases are disorders caused by organisms such as bacteria, viruses, fungi, protozoa, helminths, prions or parasites and they include SARS-CoV-2, Zika, Ebola, HIV/AIDS, swine flu, MERS CoV, ringworm, trichinosis, influenza, rabies, measles, rubella, tuberculosis and malaria among others. With the increased emergence and re-emergence of these diseases, there has been equally increased use of mathematical modelling to support relevant infectious diseases stakeholders (public health, pharmaceutical industry professionals, policy makers, infectious diseases researchers) in understanding the transmission and control of these diseases. This is possible when professionals are capable of interpreting and effectively evaluating both epidemiological data and the findings of mathematical modelling studies. This 10 days course will equip participants with knowledge on infectious diseases and hands on skills on use of R studio software in mathematical modelling of infectious diseases.
Duration
10 days
Who should attend?
Public health, medical, pharmaceutical industry professionals, policy makers, veterinary scientists, medical statisticians and infectious disease researchers and anybody who is looking forward to analysing and interpreting epidemiological data on infectious diseases and predicting the potential impact of infectious diseases control programmes.
What you will learn
By the end of the training participants will be able to:
• Understand fundamental statistical concepts
• Analyze data by applying appropriate statistical techniques
• Write a simple mathematical model that is appropriate for a specific infectious disease and related research question
• Learn R Programming
• Analyse the dynamics of the model
• Use the model to consider varying cost and intervention scenarios
• Construct valid mathematical models capturing the natural history of a given infectious disease.
• Use a calibrated model to create model projections for different intervention scenarios
• Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters
• Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

Course outline
Module 1: R Programming
• Introduction to the R Statistical Software & R Studio
• Different Data Structures in R
• Reading in Data from Different Sources
• Indexing and Subletting of Data
• Data Cleaning: managing missing values, recoding to string variables to numeric variables
• Exploratory Data Analysis in R

Module 2: Understanding type of data and type of data analysis
• Descriptive Statistics
• Inferential statistics
• Test statistics- Test for normality
Module 3: Test statistics
• Test for independence for parametric data (one sample t test, independent sample t test, paired sample t-test, one way analysis of variance, repeated measure anova)
• Test for independence of non-parametric data (Wilcoxon signed rank, Wilcoxon signed rank, Man whitney, Friedman test and Kruskal Wallis test
• Test for independence of dichotomous data- MCNemar test, Chi-square test/ Fischers’ exact test, Cochran’s Q test

Module 4: Test of associations
• Tests of associations- Chis-square test of association, Pearson correlation, Speraman correlation
• Regression analysis
• Data reduction methods
Module 5: Developing infectious disease models
• Introduction to the major concepts used for studying the epidemiology of infectious diseases:
• Basic reproduction number
• Incubation periods
• Serial intervals, herd immunity
• Seasonal transmission
Module 6: Introduction to the main types of models that can be employed
• Application of model to determine optimal control strategies for outbreaks involving new pathogens as well as for endemic infection
• Learn methods for setting up deterministic models (difference and differential equations)
Module 7: Analysis of data and applications of modelling of seroprevalence data
• How to analyse and interpret seroprevalence data,
• different fitting methodologies.
• estimate (age-dependent) infection incidences (“forces of infection”) for high and low infection transmission settings
• Determine how seroprevalence data can be used to estimate mixing patterns of subgroups in given populations and how different contact patterns between individuals affect the impact of control.
Module 8: Additional methods and dynamics - stochastic and network modelling, health economics and sensitivity analyses
• Stochastic and network models,
• Health economics
• Sensitivity analyses
Module 9: Applications of modelling
• Applications of mathematical models
• The extent of transmission of diseases such as malaria
Module 10: Case study of data analysis and modelling of infectious disease of participants’ choice
• Interpretation of results and presentation of results using tables, charts and figures
• Discussion of findings from data analysis
• Review of articles (Past papers) that have used methods and critique them
• Exercise to plan and develop a model

***************************

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 1900
Online USD 1740
Registration
January in-person/online
April in-person/online
July 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.
Events / Feeds Formulation And Milling Technology For Increased Milk Quantity And Quality by FINERESULTS(m): 8:54am On Dec 31, 2023
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.

29/01/2024-02/02/2024 Feeds Formulation and Milling Technology for Increased Milk Quantity and Quality

29/04/2024-03/05/2024 Feeds Formulation and Milling Technology for Increased Milk Quantity and Quality

29/07/2024-02/08/2024 Feeds Formulation and Milling Technology for Increased Milk Quantity and Quality

28/10/2024-01/11/2024 Feeds Formulation and Milling Technology for Increased Milk Quantity and Quality

Introduction
Dairy production is a tool to poverty alleviation and promoting food security due to its nature of providing regular income to households through sale of milk. Dairying is however faced with various challenges including feed shortage and low quality of feeds that limit dairy production, high costs of concentrates which are also of poor quality, high costs of feeds and inadequate advice on dairy cattle feeding and feed formulations for the farms and limited knowledge on best feeding practices among other challenges. As a result of these challenges, dairy farmers end up making losses or stagnant in their production which is contrary to their goal of making profit. Understanding how to formulate feeds can go a long way in improving feeding of dairy animals and in reducing feeds costs. In addition, a good livestock diet can boost profitability on the farms, as well-fed animals are healthier, more productive. This 5 day course will empower participants with skills and knowledge including hands-on training in the use of excel in feed formulation, optimization of diet formulation by the use of linear programming techniques, learn feed milling technology, feedstuff sourcing and least cost formulation of feeds among others.

Duration
5 Days
Who should attend?
• Field technicians and agricultural extension staff
• Farmers
• Representatives of cooperative societies
• Individuals who would like to venture into feed formulation and manufacturing.
• Agricultural Extension officers
• Representatives of NGOs
• Private organizations

Course objectives
By the end of the training, participants will be able to:
• To use spreadsheets in formulating feeds for different classes of animals
• Understand the principles of feed formulation and its preconditions
• Understand feed milling management capability
• Understand various ingredient for processing methods
• Understand economic benefits of feed mill
• Learn safety regulations pertaining to feed manufacture
• Use both manual and computer software to formulate simple feeds

Course outline
Module 1: Introduction to animal foods
• Basics of animal nutrition
• Groups of Foods (Food components; carbohydrates and fats, proteins, minerals, and trace elements)
• Food Processing Terms
• Feed ingredients
• Water
• Feed analysis
• Feeding standards and ration formulation (using computer software)
Module 2: Calculating rations
• The Object of Rationing
• Nutritional Requirements of the Animal
• Calculating a Maintenance Ration
• Cattle at Pasture
• Working Out Rations for a Herd
• Nutrient Requirements for a Dairy Cow
• Working Out the Total Requirements
• Feeding a Ration to Meet Nutrient Needs
• The Dairy Ration
• Ready Mix Feeds
• Using Protein Contents
• A Summary of Rationing
• Further Considerations in Rationing

Module 3: Animal feed production, quality assurance, and regulation
• Feed mill establishment and operation
• Feed milling machine designs, components and maintenance operations
• Feed Mill Accessories
• Feed stuff sourcing
• Feedstuff storage
• Feedstuff processing (Plant origin)
• Feedstuff processing (Animal byproducts) and utilization
• Standardization and quality control in Animal Feeds
• Finished Feed quality and handling
• Principles and Techniques of manual formulation
• Pearson’s Square Method
• Simultaneous Equation Method
• More Complex diets (Trial and Error Method)
• Computerized Feed Formulation and Practical formulation using the spreadsheets and other available software
Module 4
• Formulating to produce concentrates/supplements
• Feed Production
• Economics and management of feed mill operations
• Safety regulations pertaining to feed manufacture.

Module 5: Field Visit

***************************

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: +254 732 776 700/+254759285295 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: +254732776700 / +254759285295
or Email: training@fineresultsresearch.org
TRAINING FEE
Cost:
In-person USD 1000
Online USD 900

Registration
January in-person/online
April in-person/online
July in-person/online
October in-person/online
Events / Mixed Research Methods Qualitative Data Analysis Using Nvivo And Quantitative Da by FINERESULTS(m): 5:51pm On Dec 30, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
19/02/2024- 01/03/2023 Mixed Research Methods Qualitative Data Analysis Using NVivo and Quantitative Data Analysis of Panel Data Using Stata


INTRODUCTION
A mixed method research design allows researchers to collect and analyse both quantitative and qualitative data within the same study. With the approach overall goal of providing a better and deeper understanding, by providing a fuller picture that can enhance description and understanding of the phenomena, use of the right data collection tools and analyzing software are essential. This 10 days course will focus on designing tools for data collection that ensures real, quality, and rich data including capturing of videos, audios, and images. The course will also demonstrate both qualitative and quantitative research designs. While the course will explore quantitative data analysis using Stata 14, qualitative data will be analysed using Nvivo 14 software. Additionally, participants will be trained on interpretation of results and writing different research outputs among them project report, scientific journal articles, blogs, case studies and policy briefs.

DURATION
10 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
• 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 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

QUANTITATIVE DATA ANALYSIS OF PANEL DATA USING STATA
Module 6: 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 unobservables
• Determining causal order
• Problem of dependence
• Software considerations

Module 7: Linear models
• Robust standard errors
• Generalized estimating equations
• Random effects models
• Fixed effects models
• Between-within models

Module 8: Logistic regression models
• Robust standard errors
• GEE
• Subject-specific vs. population averaged methods
• Random effects models
• Fixed effects models
• Between-within models

Module 9: Count data models
• Poisson models
• Negative binomial models

Module 10: 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: +254 732 776 700 or +254 759 285 295. You can also send an 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: +254 732 776 700 or +254 759 285 295. You can also send an 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.
Events / Mathematical Modellingof Infectious Diseasesin Epidemiology Using R by FINERESULTS(m): 10:01am On Oct 12, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
20/11/2023 to 01/12/2023 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
22/01/2024 to 02/02/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
08/04/2024 to 19/04/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
01/07/2024 to 12/07/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
07/10/2024 to 18/10/2024 Mathematical Modelling of Infectious Diseases in Epidemiology Using R

INTRODUCTION
Infectious diseases are disorders caused by organisms such as bacteria, viruses, fungi, protozoa, helminths, prions or parasites and they include SARS-CoV-2, Zika, Ebola, HIV/AIDS, swine flu, MERS CoV, ringworm, trichinosis, influenza, rabies, measles, rubella, tuberculosis and malaria among others. With the increased emergence and re-emergence of these diseases, there has been equally increased use of mathematical modelling to support relevant infectious diseases stakeholders (public health, pharmaceutical industry professionals, policy makers, infectious diseases researchers) in understanding the transmission and control of these diseases. This is possible when professionals are capable of interpreting and effectively evaluating both epidemiological data and the findings of mathematical modelling studies. This 10 days course will equip participants with knowledge on infectious diseases and hands on skills on use of R studio software in mathematical modelling of infectious diseases.

Duration
10 days

Who should attend?
Public health, medical, pharmaceutical industry professionals, policy makers, veterinary scientists, medical statisticians and infectious disease researchers and anybody who is looking forward to analysing and interpreting epidemiological data on infectious diseases and predicting the potential impact of infectious diseases control programmes.

What you will learn
By the end of the training participants will be able to:
• Understand fundamental statistical concepts
• Analyze data by applying appropriate statistical techniques
• Write a simple mathematical model that is appropriate for a specific infectious disease and related research question
• Learn R Programming
• Analyse the dynamics of the model
• Use the model to consider varying cost and intervention scenarios
• Construct valid mathematical models capturing the natural history of a given infectious disease.
• Use a calibrated model to create model projections for different intervention scenarios
• Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters
• Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

Course outline
Module 1: R Programming
• Introduction to the R Statistical Software & R Studio
• Different Data Structures in R
• Reading in Data from Different Sources
• Indexing and Subletting of Data
• Data Cleaning: managing missing values, recoding to string variables to numeric variables
• Exploratory Data Analysis in R

Module 2: Understanding type of data and type of data analysis
• Descriptive Statistics
• Inferential statistics
• Test statistics- Test for normality

Module 3: Test statistics
• Test for independence for parametric data (one sample t test, independent sample t test, paired sample t-test, one way analysis of variance, repeated measure anova)
• Test for independence of non-parametric data (Wilcoxon signed rank, Wilcoxon signed rank, Man whitney, Friedman test and Kruskal Wallis test )
• Test for independence of dichotomous data- MCNemar test, Chi-square test/ Fischers’ exact test, Cochran’s Q test

Module 4: Test of associations
• Tests of associations- Chis-square test of association, Pearson correlation, Speraman correlation
• Regression analysis
• Data reduction methods

Module 5: Developing infectious disease models
• Introduction to the major concepts used for studying the epidemiology of infectious diseases:
• Basic reproduction number
• Incubation periods
• Serial intervals, herd immunity
• Seasonal transmission

Module 6: Introduction to the main types of models that can be employed
• Application of model to determine optimal control strategies for outbreaks involving new pathogens as well as for endemic infection
• Learn methods for setting up deterministic models (difference and differential equations)

Module 7: Analysis of data and applications of modelling of seroprevalence data
• How to analyse and interpret seroprevalence data,
• different fitting methodologies.
• estimate (age-dependent) infection incidences (“forces of infection”) for high and low infection transmission settings
• Determine how seroprevalence data can be used to estimate mixing patterns of subgroups in given populations and how different contact patterns between individuals affect the impact of control.

Module 8: Additional methods and dynamics - stochastic and network modelling, health economics and sensitivity analyses
• Stochastic and network models,
• Health economics
• Sensitivity analyses

Module 9: Applications of modelling
• Applications of mathematical models
• The extent of transmission of diseases such as malaria

Module 10: Case study of data analysis and modelling of infectious disease of participants’ choice
• Interpretation of results and presentation of results using tables, charts and figures
• Discussion of findings from data analysis
• Review of articles (Past papers) that have used methods and critique them
• Exercise to plan and develop a model

***************************

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 1900
Online USD 1740
Registration
August in-person/online
November in-person/online
December 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.
Events / Analysis Of Complex Sample Survey Data Using Stata by FINERESULTS(m): 10:43am On Jul 21, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

21/08/2023 to 25/08/2023 Analysis of Complex Sample Survey Data Using Stata

06/11/2023 to 10/11/2023 Analysis of Complex Sample Survey Data Using Stata

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
Cost:
In-person USD 1000
Online USD 900
Registration
August in-person/online
November 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.
Events / Mathematical Modelling Of Infectious Diseases In Epidemiology Using R by FINERESULTS(m): 8:56am On Jul 20, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
14/08/2023 to 25/08/2023 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
06/11/2023 to 17/11/2023 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
04/12/2023 to 15/11/2023 Mathematical Modelling of Infectious Diseases in Epidemiology Using R
INTRODUCTION
Infectious diseases are disorders caused by organisms such as bacteria, viruses, fungi, protozoa, helminths, prions or parasites and they include SARS-CoV-2, Zika, Ebola, HIV/AIDS, swine flu, MERS CoV, ringworm, trichinosis, influenza, rabies, measles, rubella, tuberculosis and malaria among others. With the increased emergence and re-emergence of these diseases, there has been equally increased use of mathematical modelling to support relevant infectious diseases stakeholders (public health, pharmaceutical industry professionals, policy makers, infectious diseases researchers) in understanding the transmission and control of these diseases. This is possible when professionals are capable of interpreting and effectively evaluating both epidemiological data and the findings of mathematical modelling studies. This 10 days course will equip participants with knowledge on infectious diseases and hands on skills on use of R studio software in mathematical modelling of infectious diseases.

Duration
10 days

Who should attend?
Public health, medical, pharmaceutical industry professionals, policy makers, veterinary scientists, medical statisticians and infectious disease researchers and anybody who is looking forward to analysing and interpreting epidemiological data on infectious diseases and predicting the potential impact of infectious diseases control programmes.

What you will learn
By the end of the training participants will be able to:
• Understand fundamental statistical concepts
• Analyze data by applying appropriate statistical techniques
• Write a simple mathematical model that is appropriate for a specific infectious disease and related research question
• Learn R Programming
• Analyse the dynamics of the model
• Use the model to consider varying cost and intervention scenarios
• Construct valid mathematical models capturing the natural history of a given infectious disease.
• Use a calibrated model to create model projections for different intervention scenarios
• Implement a mathematical model in R, calibrating it against epidemiological data in order to estimate key model parameters
• Explain the strengths and limitations of a mathematical model in relation to given research and policy questions

Course outline
Module 1: R Programming
• Introduction to the R Statistical Software & R Studio
• Different Data Structures in R
• Reading in Data from Different Sources
• Indexing and Subletting of Data
• Data Cleaning: managing missing values, recoding to string variables to numeric variables
• Exploratory Data Analysis in R

Module 2: Understanding type of data and type of data analysis
• Descriptive Statistics
• Inferential statistics
• Test statistics- Test for normality

Module 3: Test statistics
• Test for independence for parametric data (one sample t test, independent sample t test, paired sample t-test, one way analysis of variance, repeated measure anova)
• Test for independence of non-parametric data (Wilcoxon signed rank, Wilcoxon signed rank, Man whitney, Friedman test and Kruskal Wallis test )
• Test for independence of dichotomous data- MCNemar test, Chi-square test/ Fischers’ exact test, Cochran’s Q test

Module 4: Test of associations
• Tests of associations- Chis-square test of association, Pearson correlation, Speraman correlation
• Regression analysis
• Data reduction methods

Module 5: Developing infectious disease models
• Introduction to the major concepts used for studying the epidemiology of infectious diseases:
• Basic reproduction number
• Incubation periods
• Serial intervals, herd immunity
• Seasonal transmission

Module 6: Introduction to the main types of models that can be employed
• Application of model to determine optimal control strategies for outbreaks involving new pathogens as well as for endemic infection
• Learn methods for setting up deterministic models (difference and differential equations)

Module 7: Analysis of data and applications of modelling of seroprevalence data
• How to analyse and interpret seroprevalence data,
• different fitting methodologies.
• estimate (age-dependent) infection incidences (“forces of infection”) for high and low infection transmission settings
• Determine how seroprevalence data can be used to estimate mixing patterns of subgroups in given populations and how different contact patterns between individuals affect the impact of control.

Module 8: Additional methods and dynamics - stochastic and network modelling, health economics and sensitivity analyses
• Stochastic and network models,
• Health economics
• Sensitivity analyses

Module 9: Applications of modelling
• Applications of mathematical models
• The extent of transmission of diseases such as malaria

Module 10: Case study of data analysis and modelling of infectious disease of participants’ choice
• Interpretation of results and presentation of results using tables, charts and figures
• Discussion of findings from data analysis
• Review of articles (Past papers) that have used methods and critique them
• Exercise to plan and develop a model

***************************

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 1900
Online USD 1740
Registration
August in-person/online
November in-person/online
December 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.
Events / Analysis Of Qualitative Data Using Nvivo by FINERESULTS(m): 3:44pm On Jul 19, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
07/08/2023 to 25/08/2023 Analysis of Qualitative Data Using NVivo
06/11/2023 to 10/11/2023 Analysis of Qualitative Data Using NVivo

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
Cost:
In-person USD 1000
Online USD 900
Registration
August in-person/online
November 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.
Events / Discrete Choice Modeling Training by FINERESULTS(m): 2:49pm On Jul 19, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
07/08/2023 to 11/08/2023 Discrete Choice modelling through theory and practice
20/11/2023 to 24/11/2023 Discrete Choice modelling through theory and practice
Introduction
Human life is faced with alternative choices to select from on daily basis. Accordingly, discrete choice models are widely used for the analysis of individual choice behavior and can be applied to solve problems in many fields such as agriculture, economics, accounting, health, engineering, environmental management, urban planning, tourism and transportation among other fields. For example, discrete choice modeling is used in agriculture to inform on the best technology or innovation that are beneficial to farmers. In health, discrete choice modeling can inform on the preference of health and healthcare while in marketing research, it can guide product positioning, pricing, product concept testing. This 5 days course will equip participants with skills on how to use real databases to estimate and test discrete choice models and gain hands-on experience in using new discrete choice techniques for practical applications.
Duration
5 days

Who should attend?
• Academia
• Professionals interested in learning new discrete choice techniques (Masters and PhD students in economics, planning, civil engineering, management, behavioral science, health science, and political science.
• Staff in development research
• Consultants in market research, transportation consulting, planning among others
Course objectives
By the end of training, participants will be able to:
• Understanding discrete choice models and their applications.
• Choose between a range of different models used for predicting mulitinomial choices.
• Identify the advantages and disadvantages of the different econometric models. - use the different models in practise and interpret the outcome.
• Understanding problems of data collection, model formulation, estimation, testing, and forecasting, as learned through case studies of discrete choice methods.
• Utilizing Stata or R software to estimate and test discrete choice models from real databases.
Course contents
Module1: Basic statistical terms and concepts
• Introduction to statistical concepts
• Descriptive Statistics
• Inferential statistics
• Research design
• Sampling

Theoretical foundations of discrete choice models: Theories of choice
• Random utility theory
• Lancaster’s theory of characteristics
• Neoclassic economics

Module 2: Introduction to behavior modeling
• Analysis of revealed and stated preferences sampling
• Learning how to use Stata/R software:
• Binary choice models
• Probabilistic choice models
 Logit model
 Specification of the Logit/Probit model,
 Estimation of Logit/Probit parameters, the validation process, and their application.
 Nested logit
Module 3: Choice with multiple alternatives
• Multinomial logit model
• Ordered probit/ordered logit model
• Specification of the Multinomial Logit/Probit and ordered logit/ordered logit models
• Estimation of Multinomial Logit/Probit and ordered logit/ordered logit parameters, the validation process, and their application.
• Case studies with real data sets,
• Nested logit

Module 4: Data management and analysis
• Data analysis using Stata or R
• Model applications
• Case studies on estimation of binary choice model with real data sets,
• Case studies on estimation of Multinomial Logit/Probit and ordered logit/ordered logit with real data sets,

Module 5: Interpretation and discussion of results
• Case study: Interpretation and discussion of results from real data analyzed during training


***************************

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 1000
Online USD 900
Registration
August in-person/online
November 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.
Events / Epidemiology And Bio-statistics Using Stata by FINERESULTS(m): 12:00pm On Jul 19, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
11/09/2023 to 22/09/2023 Epidemiology and Bio-Statistics Using Stata
06/11/2023 to 17/11/2023 Epidemiology and Bio-Statistics Using Stata
INTRODUCTION
Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistical 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:
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:
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:
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
Cost:
In-person USD 1000
Online USD 900
Registration
September in-person/online
November 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.
Events / Collection And Credit Management Course by FINERESULTS(m): 4:34pm On Jul 14, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Accounting & Financial Management courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

24/07/2023 to 28/07/2023 Debt Collection and Credit Management course

02/10/2023 to 06/10/2023 Debt Collection and Credit Management course
04/12/2023 to 08/12/2023 Debt Collection and Credit Management course
INTRODUCTION
Debt management is the process of establishing and executing a strategy for managing debt in order to realize the initially expected revenue. This helps in reducing organizational financial risks while meeting the required cost objectives and other debt management goals. This course provides an overview of debt and credit management by explaining concepts in a user-friendly language, avoiding mathematics and using simple illustrations and practical examples.

DURATION
5 Days

COURSE OBJECTIVES
Upon completion of this training course, participants will be able to:
• Communicate with a creditor after careful planning in order to handle objections from the debtor and deal with queries.
• Identify negotiating strategies in order to reach payment agreement from the debtor.
• Demonstrate effective communication as a debt collector.
• Understand the importance of recording all communications and discussions made between the debtor and the debt collector.
• Implement the negotiation steps and processes and understand the need thereof.
• Implement effective debt collecting strategies according to the code of conduct.

COURSE OUTLINE
Module 1:
Understanding company credit and debt
• Reviewing the credit cycle from application to payment
• Identifying possible causes of outstanding payments
• Assessing the impact of outstanding debt on your company's financial results
• Identifying ways in which you can motivate your customers to pay their outstanding debts

Module 2:
Debt collection as a vital financial activity
• Completing debtor reports as an effective debt management tool
• Setting definite and realistic debt collection targets
• Comparing your debt collection results to your initial objectives
• Analyzing the return-on-investment of your debt collection activities
Module 3:
Planning and preparing for effective debt collection
• Classifying your debtors to enable a well-targeted approach Understanding the essential elements of debt collection correspondence
• Paraphrasing the "pay up or else" threat in a more effective and customer friendly fashion
• Acquiring essential skills for compiling debt collection letters, telegrams, e-mails and faxes
• Addressing your correspondence to the correct person to guarantee results
• Using the debtors classification to analyze the potential risk each debtor poses to your company
• Drawing up a collection checklist to facilitate systematic collections
• Making use of a customer card system as a comprehensive record of all debtors' histories
• How do you decide whether to collect the debt by telephone or by letter?
Module 4:
Ensuring the success of your debt collection correspondence
• Understanding the essential elements of debt collection correspondence
• Paraphrasing the "pay up or else" threat in a more effective and customer friendly fashion
• Acquiring essential skills for compiling debt collection letters, telegrams, e-mails and faxes
• Addressing your correspondence to the correct person to guarantee results

Module 5:
Essential telephone techniques
• Ensuring that you are sufficiently prepared before dialing the debtor
• Understanding professional telephone procedure
• Dealing with angry customers and excuses
• Overcoming personal and company objectives
• Turning promises into commitments to pay
• Using agreed payment dates and reminders to ensure that the debt is paid
• Learning how to close calls amicably


***************************
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 1000
Online USD 900
Registration
July in-person/online
October in-person/online
December 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
Events / Accounts Payable Training Course by FINERESULTS(m): 3:40pm On Jul 14, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Accounting & Financial Management courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

21/08/2023 to 25/08/2023 Accounts Payable Training Course
16/10/2023 to 20/10/2023 Accounts Payable Training Course
11/12/2023 to 08/12/2023 Accounts Payable Training Course
INTRODUCTION
This Accounts Payable training course provides businesses and other organizations with a strong sense of where they stand against industry leaders and shows them how to take their services and organizational processes to state of the art levels. Documented strategies and tactics employed by highly admired companies are presented both successful and unsuccessful to illustrate the real world functionality of each process and approach. By attending this training course, participants will understand the importance of the accounts payable function with regard to its links with the supply chain and cash flow; the integrated systems of purchase order processing, stock (inventory) control, purchase ledger and cash payments and their links with the general ledger; how to effectively manage cash and working capital to reduce costs and improve cash flow; the impact of risk and uncertainty on the business and its impact on accounts payable and cash flow and how leading companies from across the globe are achieving best practice in Accounts Payable.

DURATION
5 Days

COURSE OBJECTIVES
This training course aims to enable participants to achieve the following objectives:
• Work effectively with the fundamentals of accounts payable, financial accounting and the supply chain
• Understand and apply the fundamentals of accounts payable systems
• Review and comment on payment methods and cash management
• Analyse the need to incorporate risk and uncertainty into accounts payable analysis
• Identify best practice across all industries

COURSE OUTLINE
Module 1:
Accounts Payable, Financial Accounting and the Supply Chain
• Accounting and financial information: Accounts Payable in context
• Sources of finance
• The supply chain
• Financial position and financial performance
• Cash flow and Working Capital
• Why is cash flow so important?

Module 2:
Achieving World Class in Accounts Payable Processes
• Defining Best Practice in AP
• Moving beyond P2P
• Managing Risk
• Principles of Best Practice
• End to End AP Process
• Defining the issues in Accounts Payable

Module 3:
Improving Invoice Processing and Operational Management
• Invoice Handling and Approval Processes
• Verifying invoice data
• Paying “low value” items
• How to avoid duplicate payments
• Making the best use of staff time: limiting telephone calls to AP
• Does Petty cash management belong in Accounts Payable?

Module 4:
Harnessing Technology in Accounts Payable Processes
• Master Vendor File Management – getting it right from the start
• Travel & Entertainment
• Policy management
• Cash advances and employee reimbursement
• Process improvement through imaging and workflow
• Using the internet for AP effectiveness

Module 5:
Making the Payments and Maintaining the Relationships
• Communications & Customer Relations
• Payments status information for vendors and internal customers
• Improving Procure to Pay(P2P)Cycle
• Payments and Payment Solutions: Accounts Payable or Treasury?


***************************
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 1000
Online USD 900
Registration
August in-person/online
October in-person/online
December 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
Events / Accounting Finance For Non-financial Professionals Using Quickbooks by FINERESULTS(m): 2:28pm On Jul 14, 2023
FineResults Research Services would like to invite you to take part in our upcoming workshops on Accounting & Financial Management courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.

11/09/2023- 15/09/2023 Accounting Finance for Non-Financial Professionals Using QuickBooks

20/11/2023- 24/11/2023 Accounting Finance for Non-Financial Professionals Using QuickBooks

INTRODUCTION
Non finance professionals often feel that their finance professionals counterparts speak a completely different language than theirs. Accounting and Finance for Non-Financial Professionals training course has been developed for precisely this reason. No one in business will succeed if they are not financially literate – and no business will succeed without financially-literate people. Accounting and Finance for Non-Financial Professionals, is considered as a must for anyone taking up employment in business or administration. This course is designed to give participants a great grounding in accounting and how it can contribute to effective management through using accounting and finance information in supporting financial analysis, valuation, and decision making in various contexts.

DURATION
5 Days

COURSE OBJECTIVES:
During this training course participants will enrich their understanding on the following:
• Overcome the barrier of the accountants’ strange language
• Improve their understanding of your organization’s finance function
• Understanding the content of, and relationships between, primary financial statements (income statement and balance sheet)
• Radically improving their planning, controlling and budgeting skills
• Be much more aware of the impact of their decisions on the performance of your organization
• Identifying the main sources of finance available to a business
• Identifying the main elements of working capital
• Using comparative ratio analysis to pinpoint areas of concern

COURSE OUTLINE
Module 1 - Introduction to Accounting and Finance
• What are accounting and finance
• How are the users of accounting information?
• Why do I need to know anything about accounting and finance?
• Accounting as information system
• Financial accounting and management accounting
• How is business managed?
• What needs to be accounted for in the context of a business model?
• Key accounting concepts
• Assets, liabilities and equity
• Accounting equation
• How does the value of capital change
• The Accounting cycle
• Accounting Policies and Underlying Assumptions
• Examples, Problems and Illustrative Case Studies

Module 2 - Measuring and Reporting Financial Position and Financial Performance
• The major financial statements- an overview
• The statement of financial position (balance sheet)
o Current assets and liabilities
• Inventory / Stock
• Receivables
• Payables
• Non-current assets
• Property, plant and equipment
• Depreciation
• Intangible assets
o Patents and licences
o Goodwill (introduction to group accounts)
o Amortisation and impairment
• Income Statement (the Statement of Financial Performance)
• Recognizing revenue
• Recognizing expenses
• Examples, Problems and Illustrative Case Studies

Module 3 - Planning and Controlling - Costing and Budgeting
• Understanding cost structure and behaviour
• Costs as a relationship to outputs – cost / volume / price relationship
• Fixed costs vs variable costs
• The concept of contribution margin
• Break-even analysis for planning and control
• Nature and purpose of budgets for planning and control
• Types of budgets and budgeting
• Budgetary control and variance analysis
• Budgeting for non-financial measures – Key Performance Indicators and the Balanced Scorecard
• Examples, Problems and Illustrative Case Studies

Module 4 - Financing a Business and Making Investment Decisions
• Source of finance
• Sources of internal finance
• Sources of external finance
• Long-term vs short-term borrowing
• Financing decisions
• Debt vs equity
• Types of share and share issues
• The nature of investment decisions
• Investment appraisal methods
• Accounting rate of return (ARR)
• Payback period (PP)
• Nets present value (NPV)
• Why NPV is better
• Internal rate of return (IRR)
• Examples, Problems and Illustrative Case Studies

Module 5 - Accounting Information and Financial Analysis
• Identifying key success factors in an industry sector
• The analysis framework
o Profitability
 Growth
 Margins
 Earnings per share
o Efficiency
 Working Capital Days
 Cash Cycle
 Short Term Financing
 Return Ratios
o Liquidity
 Current Ratio
 Quick Ratio
 Interest Cover
o Solvency
 Gearing
 Leverage
 Investor Ratios
 Dividend Yield
 Total Shareholder Return

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 1000
Online USD 900
Registration
September in-person/online
November 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
Events / Risk Management In Building Resilience To Climate Change by FINERESULTS(m): 10:50am On Jul 13, 2023
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.
18th to 22nd September 2023 Risk Management in Building Resilience to Climate Change
20th to 24th November 2023 Risk Management in Building Resilience to 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 or Email.

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

TRAINING FEE
Cost:
In-person USD 1000
Online USD 900
Registration
September in-person/online
November 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 the organization email.
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 or Email.

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

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Events / Result-based Monitoring And Evaluation Of Agricultural Projects by FINERESULTS(m): 10:20am On Jul 13, 2023
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.
14th to 25th August 2023 Result-based Monitoring and Evaluation of Agricultural Projects
9th to 20th October 2023 Result-based Monitoring and Evaluation of Agricultural Projects
INTRODUCTION
Recently, there has been a realization that agriculture and in particular the viability and sustainability of smallholder farming can be a key to not only improving food security status but also reducing poverty. Monitoring and evaluation helps track agricultural project performance at any given time and provides reasons for an observed project status. In addition, understanding how approaches in Monitoring and Evaluation can be modified or enhanced to optimize positive impact on the intended beneficiaries is important. This five-day course is aimed at providing an overview of results-based monitoring and evaluation methods particularly in agricultural projects.

DURATION
10 Days

LEARNING OBJECTIVES
• Participants will gain confidence to apply the acquired skills and knowledge to their M&E work
• Participants will be able to share and learn from other country experiences to strengthen their M&E systems in agricultural projects.
• Participants will have an improved understanding of how M&E can improve the quality of their projects while promoting learning and accountability
• Participants will also learn how to be better managers and consumers of evaluations conducted by others

COURSE OUTLINE
Module 1: What is Monitoring and evaluation?
• Why is M&E important
• M&E and the project cycle management
• Step to implementing M&E in a project/programme in agricultural projects
• Type of evaluations
• Methods and tools for M&E
Module 2: Trends towards Result Based M&E
• Managing for Development Results (MfDR)
• MfDR core principles
• MfDR and Result based management (RBM)
• Emergence of RBM and its development
• Seven phases of RBM
• Performance measurement, performance indicators and performance monitoring
• Logical framework and results framework
Module 3: Introduction to Result Based M&E
• Essential actions to build result based M&E
• Result based M&E cycle
• The power of measuring results
Situation analyses/Needs assessment
• Formative research
• Situation analysis
• Needs assessment
• Tools to conduct a needs assessment
• Illustrative examples of situation analysis and mappings
Module 4: Designing the M&E system
• The result chain
• Impact path ways
• Logical framework vs Theory of change
• Developing a theory of change
• Components of a theory of change
M&E Frameworks
• Why are M&E frameworks important?
• Considerations when developing an M&E framework
• Results frameworks
• Logical frameworks
Module 5: Designing indicators and evidence
• What are indicators?
• Characteristics of good indicators
• Process versus result/impact indicators
• Process indicators
• Result indicators
• Output indicators
• Outcome indicators
• Impact indicators
• Developing internationally comparable indicators
M&E Plans
• What does an M&E plan include?
• Important considerations for an M&E plan
• When should M&E be undertaken?
• When monitoring activities should be carried out?
• When should evaluations be conducted?
• Can M&E plans be amended?
Module 6: Evaluation Techniques
• Evaluation questions
• Steps to developing evaluation questions
• Illustrative examples
• Designing evaluations for stakeholder benefit and use
• Choice and use of qualitative and quantitative collection instruments
• Participatory data analysis
• Communicating findings meaningfully for comprehensive stakeholder learning
Module 7: Baseline Assessments
• What is baseline data and how is it collected?
• Needs assessment versus baseline study
• Questions to ask about a baseline plan
• What kind of baseline data is necessary, useful and practical to collect?
• Examples of baseline surveys
Module 8: Data Collection and Analysis
• Quantitative data
• Methods for collecting quantitative data
• Challenges and limitations of quantitative methods
• Qualitative data
• Methods for collecting qualitative data
• Pre/post intervention focus group discussions
• Pre/post intervention interviews
• Illustration and example with selected participatory methods
Module 9: Communicating M&E information
• Developing a communications strategy based on evaluation findings.
• Communicating findings to bring about change.
• Presenting M&E results using different media.
Module 10: Use of M&E Results
• Different uses of M&E results
• To whom to give feedback
• When to give feedback
• How to give feed back
• Embedding learning for personal and organizational benefit
• Becoming change agents for M&E.
• Becoming an M&E champion

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 or Email.
REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
TRAINING FEE
Cost:
In-person USD 1900
Online USD 1710
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 the organization email.
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 or Email.

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

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Events / Resilient Watershed Management RWM by FINERESULTS(m): 9:34am On Jul 13, 2023
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.
14th to 18th August 2023 Resilient Watershed Management RWM
20th to 24th November 2023 Resilient Watershed Management RWM
Introduction
This course guides the application of resilient watershed management (RWM), combining natural resource management with risk, environment and livelihood considerations to deal with watershed issues in an integrated and multidisciplinary way. Resilient watershed management uses a landscape approach to risk reduction, where competing land-use needs are recognised and balanced in the context of the entire landscape, from the highest mountains to coastal plains.
The ultimate goal of resilient watershed management is a region’s sustainable development, or development that meets the present’s needs, without compromising future generations’ capacity to meet their own needs.

Duration
5 days
Course outline
Module1: Introduction to resilient watershed management
This learning step provides the fundamental principles for integrating the risk and landscape approach into watershed decision-making. It also introduces the case study’s context and characters to take you through the resilient watershed management planning process.
• Overview
• Global changes
• Watershed management approaches
• Resilient watershed management cycle
Module 2: Enabling environment and engage stakeholders
This learning step describes the first stage in the development of the resilient watershed management plan. The plan begins by assessing if the enabling environment’s different aspects are adequate to support resilient watershed management. It also guides how to involve all interested stakeholders to support a resilient watershed management plan’s overall development and implementation.
• Analysing the enabling environment
• Identify the relevant policies, laws and institutions necessary for effective RWM
• Analyse the policies, laws and institutions identified
• Conclude the analysis of the enabling environment.
• Define measures to overcome inconsistencies and incompatibilities.
Module 3: Perform risk assessment
In this learning step, participants goes through identifying risks based on hazard and exposure mapping, together with vulnerability assessments.
• Why carry out a climate and DRA within the watershed
• Definition of risk
• DRA steps
• Hazard assessment
• Exposure assessment
• Hotspot identification and prioritisation
• Risk reduction opportunity area identification
• Vulnerability assessment
• Disaster risk analysis
Module 4: Identifying measures for resilient watershed management
This learning step reviews how to select and prioritise measures to strengthen risk management in watersheds based on the previous assessments.
• Climate and DRM and mitigation
• RWM measures
• Enabling environment assessment and RWM measures
• Exposure assessment and RWM measures
• Vulnerability assessment and RWM measures
• Prioritisation of measures
Module 5: Develop and implement the resilient watershed management plan
The various assessments carried out during learning modules 1-4 and identifying the relevant risk reduction measures need to be compiled into a comprehensive plan. This learning step reviews how the resilient watershed management plan puts together the various components.
• RWM plan
• Content of the RWM plan
• Scales of implementation
• 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 1000
Online USD 900
Registration
August in-person/online
November 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.
Events / Sensory Evaluation In Food Processing And Value Addition by FINERESULTS(m): 9:25pm On Jul 11, 2023
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.
7th to 11th August 2023 Sensory Evaluation in Food Processing and Value Addition
23rd to 27th October 2023 Sensory Evaluation in Food Processing and Value Addition
Introduction
Value addition is a solution in preventing losses and waste of agricultural produce that are characterised by perishability. Value addition therefore helps to prevent food loss and waste thus promoting food security and improving livelihoods. Value added products need to meet consumers’ expectations in terms of quality and hence sensory analysis is important in every small, medium or large food processing venture. Consumers are also becoming more aware of the quality they want from processed food products and it is important for food processors to be able to meet their expectations. This 5 days training course is designed to ensure food processing ventures implement sensory evaluation in their quality checks so as to produce quality products that meet consumers’ expectations and to maximize profits.
Duration
5 days.
Course Objectives
By the end of the course, participants will be able to:
• Understand the concept of sensory evaluation in value addition
• Understand the importance of carrying out sensory evaluation in food processing
• Understand the difference between sensory evaluation and organoleptic tests
• Understand the methods for sensory evaluation of food
• Carry out food product discrimination through their senses
• Demonstrate an understanding of human sense organs and roles of each in sensory discrimination

Topics to be covered
Module 1:
• Introduction to sensory evaluation
• Definition of Sensory evaluation
• Understanding the sensory attributes of food
• Difference between sensory evaluation and organoleptic tests

Module 2:
• Sensory Evaluation Tests
• Discriminatory tests
• Difference tests
• Descriptive tests
• Consumer/ Affective tests

Module 3:
• Physiology of sensory perception
• Effects of external stimuli on sensory perception
• Sensory analysis tools
• Designing of a sensory analysis room

Module 4:
• Factors that can influence sensory measurement
• Practical training on carrying out sensory evaluation of different products
• Learning how to code and prepare food samples for sensory evaluation


Module 5:
• Field visit to a processing firm
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: +254 732 776 700/+254759285295 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: +254732776700 / +254759285295
or Email: training@fineresultsresearch.org
Events / Promoting Entrepreneurship And Agribusiness Development by FINERESULTS(m): 8:57pm On Jul 11, 2023
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.
24th to 28th July 2023 Promoting Entrepreneurship and Agribusiness Development
18th to 22nd September 2023 Promoting Entrepreneurship and Agribusiness Development
20th to 24th November 2023 Promoting Entrepreneurship and Agribusiness Development
INTRODUCTION
Developing countries stand to heavily benefit if entrepreneurship and agribusiness development can be promoted and nurtured. This course is designed to offer insights on possibilities of increasing the level of entrepreneurship in agriculture as well as explore how agribusiness development gains can be improved. Improving survival rates of agribusinesses that currently have a high rate of failure and promoting agri-enterprise development is one of the way of meeting some Sustainable Development Goals (SDGs). This training course will provide hands-on training in agri-entrepreneurship and agribusiness development.

DURATION
5 Days

LEARNING OBJECTIVES
Upon completion of the course, participants will have learnt about:
• Concepts of agri-entrepreneurship and agribusiness development
• Opportunities for agribusiness entrepreneurs
• Financing for agribusiness entrepreneurs
• Sales, marketing, & branding in agribusiness
• Strategic partnerships among for agribusiness entrepreneurs
COURSE OUTLINE
Module 1: Opportunities for Agribusiness entrepreneurs
• How to start agribusiness ventures
• How to find a profitable business idea and turn it into profit
• How to find new products and services to introduce to my customers to boost revenues

Module 2: Financing for Agribusiness entrepreneurs
• How to get access to finances
• How to finance growth

Module 3: Sales, Marketing, & Branding in agribusiness
• How to find customers to buy your products and services
• How to profitably market to and reach your target audience
• How to develop and extend your brand to increase the value of your business
• How to maximise the value of your company's brand to resist pricing pressure from low cost competitors
Module 4: Field trip
Module 5: Strategic Partnerships among for Agribusiness entrepreneurs
• How to leverage other people to help yourself create wealth
• How to find the right partnership opportunities to boost profits and increase your customer base
• Challenges faced by new Entrepreneurs
• How to overcome hurdles and pitfalls faced by new business starters
• Concept of an enabling business environment
• How to enhance a fertile business climate
• Entrepreneurial life cycle
• Entrepreneurship and the economy

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 1000
Online USD 900

Registration
July in-person/online

September in-person/online

November 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.
Events / Sustainable Agriculture by FINERESULTS(m): 1:16pm On Jul 11, 2023
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.
4th to 8th September 2023 Sustainable Agriculture
13th to 17th November 2023 Sustainable Agriculture
Introduction
Following the anticipated increase in human population and a consequent decrease in land, there is a need for farmers to adopt farming systems that can sustain the increased population specifically sustainable agriculture. Sustainable agriculture is a type of agriculture whose focus is on the production of long-term crops and livestock with minimal environmental impact. This type of agriculture produce healthy, nutritious, affordable food and a dependable, secure food supply -without producing a negative impact on the environment. Sustainable agriculture aims at reducing the use of agro-chemicals such as pesticides and synthetic fertilizers, promoting biodiversity in crops and ecosystems and helping farmers improve their Agri-skills and quality of life.

Duration
5 Days
Training objectives
Upon completion of this course participants will be able to:
• Learn how sustainable agriculture is carried out
• Gain knowledge on importance of sustainable agriculture
• Understand how to grow your produce using sustainable ways.
• Learn how to improve sustainability on farms
Who should attend?
• Policy makers
• Development practitioners and programme managers
• Sectoral specialists and academics
• Trainers and extension agents
• Anyone who wants to learn more about sustainable agriculture
Course outline
Module 1: Introduction to sustainable agriculture
• Sustainable ways of farming
• Whole farm planning
• Land Management programs
• Natural farming
• Organic farming
• Minimum Tillage
Module 2: Soil conservation technologies
• Major types of soil problems
• Soil structural decline
• Soil improvements
• Adding organic matter to soils
• Cultivation techniques
• Conservation tillage
• Stone bund and soil bund
• Cover crops
Module 3: Water conservation techniques
• Types of water storage
• Water quality
• Reed beds
• Water saving measures
• Recycling
• Swales and keylines
• Irrigation systems

Module 4: Land Care
• Weed Management
• Preventative measures
• Tree management
• Wind breaks
• Wildlife corridors
• Wildlife habitats
• Pest and diseases control
Module 5: Financial Sustainability
• Economic principles
• Developing a Farm Business Plan
• Financial plan
• Controlling growth
• Value adding
• Enterprise mix
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 1000
Online USD 900
Registration
September in-person/online
November 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
Events / Water Harvesting Techniques For Rural Development by FINERESULTS(m): 8:05pm On Jul 10, 2023
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.

16th to 20th October 2023 Water Harvesting Techniques for Rural Development
4th to 8th December 2023 Water Harvesting Techniques for Rural Development

INTRODUCTION
Climate change is on the rise specifically in terms of the frequency and intensity of extreme weather events such as droughts and floods, aggravating water management problems, reducing agricultural production and food security, increasing health risks, damaging critical infrastructure and interrupting the provision of basic services such water and sanitation, education, energy and transport. Various governments across the Africa continent, Non-government Organizations and communities have been implementing various strategies to cope with risks resulting from climate change. Some of these technologies include water harvesting technologies. However, some of these technologies are expensive for rural communities. Rural population require low cost systems that can be constructed, operated and maintained. This 5 day course will equip participants with knowledge and skills on simple, cost effective, efficient, effective and easy to replicate rain water harvesting technologies.

DURATION
5 Days

COURSE OBJECTIVE
At the end of the training, participants are expected to learn:
• Learn different methods of rain water harvesting,
• Appreciate why preserving and using fresh water efficiently is so important
• Understand how to do Water pan siting and sizing
• Learn how to do dam liner installations
• Understand drip irrigation installations and solar pump installation
• Learn about available green technology
• Understand how rainwater harvesting is done

WHO SHOULD ATTEND
This course target agricultural extension personnel working in rural areas, governments, research institutions, and NGO devoted to promoting interventions aimed at reducing impact of climate change.

TOPICS TO BE COVERED
• Rainwater harvesting principles
• Different water harvesting technologies
• Selection of appropriate rainwater harvesting technologies
• Site assessment
• Water collection strategy
• Rainwater harvesting designs
• Solar pump technology installations
• Installation of water harvesting technologies
→ Basic construction,
• Installation, operation and maintenance of roof top and surface catchments.
→ Fog harvesting
→ Grey water harvesting
• Construction of water pans
→ Water pan siting and sizing
→ Dam liner installations
• Installing drip irrigations technologies
• Solar pump installation
→ Solar pump sizing
→ Solar pump installation
• Drip irrigation installations
→ Fog harvesting
→ Grey water harvesting
• Field visits to see different water harvesting technologies

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 1000
Online USD 900
Registration
October in-person/online
December 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
Events / Resilient Livelihoods by FINERESULTS(m): 11:45am On Jul 10, 2023
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.

25th to 29th September 2023 Resilient Livelihoods
20th to 24th November 2023 Resilient Livelihoods
INTRODUCTION
The world today is more unpredictable and uncontrollable than ever before. Climate change and globalisation is the major drivers of this situation. People around the world are increasingly exposed to extreme weather events, economic crises, food crises, disease epidemics, social instability and political conflicts. This training course aims to offer a systems approach on agriculture with the delivery of skills and tools to design innovative, resilient and sustainable food systems. It looks at how to balance between producing food, managing natural resources, dealing with uncertainty and providing livelihood base for the rural population. It will also look at the role and involvement of public, private and civil stakeholders in developing and strengthening community-based livelihoods management and disaster preparedness and response mechanisms.


DURATION
5 Days

COURSE OBECTIVES
By the end of this training, learners will be able to:
• Understand the concept of food security and risk reduction
• Gain understanding of various threats to food and nutrition security
• Understand how to improve household food production and consumption (dietary diversity) even at the middle of disaster.
• Improve home-based livelihood opportunities for the rural poor.
• Develop and strengthen community-based livelihoods management and disaster preparedness and response mechanisms
• Understand various approaches and practices for building resilient livelihoods
• Build enabling environment for resilient livelihoods

COURSE OUTLINE
Module 1: Threats to food and nutrition security
• Natural hazards (drought, floods, tsunamis, hurricanes/typhoons, earthquakes, volcanic eruptions, landslides)
• Socio-economic crises (e.g. volatility in agricultural commodity markets and soaring food prices)
• Environmental conditions such as land degradation, desertification and water scarcity
• Climate change(increase in the frequency and intensity of weather-related hazards)
• Food chain emergencies of trans boundary threats

Module 2: Effects of climate change and disaster risks on:
• Agricultural productivity
• Production stability
• Farmers’ incomes
Disaster Risk Reduction for food and nutrition security
• Critical roles of early warning systems
• Risk detection, mitigation and prevention measures
• Importance of mitigation and risk prevention measures
• Importance of risk preparedness improved monitoring of emerging threats and communication to food nutrition security
Module 3: Approaches and practices for building resilient livelihoods
• Postharvest Management
• Livelihoods diversification
• Crop diversification
• Integrated pest management
• Natural resource management
Module 4: Field trip
Module 5: Enabling environment for resilient livelihoods
• Legal policy framework
• Institutional structures and coordination
• Capacity development and local support
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 or Email.

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

TRAINING FEE
Cost:
In-person USD 1000
Online USD 900
Registration
September in-person/online
November 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 the email.
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 or Email.

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

CANCELLATION POLICY
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
Events / Organic Farming For Nutritious And Healthy Food Crops Production by FINERESULTS(m): 7:42am On Jul 10, 2023
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.
18th to 22nd September 2023 Organic Farming for Nutritious and Healthy Food Crops Production
20th to 24th November 2023 Organic Farming for Nutritious and Healthy Food Crops Production
INTRODUCTION
Organic farming is a type of farming which avoids the use of synthetic fertilizers, pesticides, growth regulators, and livestock feed additives. Organic farming as an alternative form of farming can be cost effective as a result of lack of use of chemical fertilizers and pesticides. Moreover, it can result to production of healthy food free from harmful chemicals, artificial flavors and preservatives, reduced risk of food contamination with pesticides residues and positive environmental effects in terms of reduced soil degradation in nutrients. This 5 days course will equip the participants with knowledge of how to produce organically.

DURATION
5 days

WHO SHOULD ATTEND?
• Agriculture Extension service providers
• Research organizations
• Non-government organizations
• Development organizations

LEARNING OBJECTIVES
At the end of the training participants will:
• Learn the scope and nature of organic farming
• Select appropriate organic management systems.
• Understand the environmental, economic and political issues concerned with organic farming.
• Explain the role of living organisms and decomposing organic matter in creating and maintaining an appropriate soil condition for successful organic farming.
• Apply appropriate weed management practices.
• Select and apply appropriate pest and disease management practices for both animal and plant production.
• Design an appropriate system for organic production of plants and livestock.
• Markets and marketing of organic products.
• Health benefits of organic products

TOPICS TO BE COVERED
Module 1
• Introduction to Organic Farming
• Integrated Farm Management Systems
• Organic Management Issues
Module 2
• Organic Management Issues
• Weed Management
• Pest and Disease Management
• Biological pest control
• Livestock Management
Module 3
• Pasture Management
• Crop Management
• Demand for organic products
• Markets and marketing of organic products.
Module 4
• Organic products in the export market
• Policy regulations of organic farming.
Module 5
• Health benefits of organic products
• Field visits to farmers producing organically

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 1000
Online USD 900

Registration
September in-person/online
November 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
Events / Nutrition Sensitive Agriculture For Food And Nutrition Security by FINERESULTS(m): 6:59am On Jul 10, 2023
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.
11th to 15th September 2023 Nutrition Sensitive Agriculture for food and nutrition security
20th to 24th November 2023 Nutrition Sensitive Agriculture for food and nutrition security
Introduction
One of the major causes of malnutrition in Africa is the lack of basic knowledge on nutrition and lack of food security to provide the nutrients. Nutrition sensitive agriculture (NSA) is the integration of nutrition and agriculture to achieve food and nutrition security. These knowledge impacted on households and communities through training on nutrition sensitive agriculture will assist to reduce and prevent the effects of poverty which lead to hunger, disease and death. It has become clear that there is no nutrition-education without agriculture and no agricultural-education without nutrition as they both complement each other in addressing food and nutrition insecurity. Training communities on NSA will impact knowledge and skills on the rural communities to strengthen their livelihoods through adoption of sustainable agricultural practices that maximize on resources.
In order to improve the nutritional statures in the community there is need for sustainable food production at the household level with the optimal use of resources such as space, water and other inputs while considering the environment in the areas of waste management. These therefore calls for trainings in the areas of food production, food storage, nutritional requirements, food preparation, food preservation, and food safety. These will ensure food diversity, food availability and food accessibility in order to achieve food and nutrition security.
Duration
5 Days
Training objectives
Upon completion of this course participants will be able to:
• Strengthen their nutrition knowledge and skills and introducing key concepts in nutrition-sensitive agriculture
• Understand the concept of nutrition-sensitive agriculture
• Outline specific ways that agriculture can support improved nutrition
• Articulate key information on the social and economic impact of malnutrition
• Explain why a multi-sectoral approach to address malnutrition is needed
• Integrate nutrition into agriculture and food security programming.
Who should attend?
• Development program managers
• Ministry and lower level government officials engaged in agriculture, nutrition, or multi-sectoral work in their countries
• Agriculture workers,
• Health workers
• Community leaders,
• Anyone interested in cross-sectoral collaboration and/or cross-training in agriculture and nutrition.
Course outline
Module 1: Importance of Nutrition to the Communities
• Overview of the relationship between agriculture and nutrition
• key concepts of nutrition-specific and nutrition-sensitive interventions
• Benefits of healthy eating
• Principles of nutrition (Micro and Macro nutrients)
• Guide to healthy eating
• Nutrients
• Nutrition and health (Nutritional Disorders)
• Nutrition-Sensitive Interventions

Module 2: Food production
• How does agriculture affect nutrition
• Ways to improve nutrition through Agriculture
• Land preparation
• Planting methods
• Management practice
• Crop protection practices
• Fertilizer Management
• Irrigation water management
• Harvesting
• Basic Nutrition Diets
• Basic of food safety (handling, storage.)
Module 3: Food safety Meal planning and Management
• Food preparation
• Energy saving technologies
Module 4: Nutrition in the life cycle
• Diet and nutrition changes during Childhood
• Diet and nutrition changes during Puberty
• Diet and nutrition changes in Late Adolescence
• Diet and nutrition changes in Young Adulthood
• Diet and nutrition changes in Middle Age
• Diet and nutrition changes in the Older Adult Years
Module 5: Value addition
• Understanding Nutritive- Sensitive Value Chain approaches (e.g biofortification, nutrient-preserving storage and transport, and nutrition signalling and labelling).
• Case study on a real-life example of a nutrition-sensitive agriculture program
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 1000
Online USD 900
Registration
September in-person/online
November 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
Events / Quality Control And Assurance Training For Laboratory Managers by FINERESULTS(m): 2:24pm On Jul 08, 2023
Quality Control and Assurance Training for Laboratory Managers
FineResults Research Services would like to invite you to take part in our upcoming workshops at our FineResults Research Services training facilities in Nairobi, Kenya or online.

24th to 28th July 2023 Quality Control and Assurance Training for Laboratory Managers
23rd to 27th October 2023 Quality Control and Assurance Training for Laboratory Managers

Introduction
Achieving, maintaining and improving accuracy, timeliness, and reliability are major challenges for most laboratories. Only a sound management of quality in laboratories will enable organizations to produce test results that can be trusted. Training laboratory managers and Technologists in quality management systems is key in good performance of laboratories. This training is intended to provide comprehensive skills that will allow for designing and organizing quality control and assurance measures in laboratories. Materials and topics to be covered in this training workshop are based on both ISO/IEC standards.
Duration
10 Days
Learning outcomes
By the end of the training, participants should be able to:
• Explain the importance of a quality management system
• Describe the steps required to implement an inventory control program
• Define quality control and describe its relationship to the overall quality management
• system
• Develop a process to prepare your laboratory staff for an external audit
• Describe the process involved in development of standards
• Discuss the need for laboratory norms and standards
• Describe the role of personnel in the quality management system
• Suggest solutions for customer service problems
• Describe the importance of process improvement in maintaining quality
• Explain the elements of a laboratory document management system
• Discuss management roles and responsibilities in a quality system

TOPICS TO BE COVERED
Introduction
• Importance of a quality management system
• Quality management system essential elements
• The history of development of quality principles
• Relationship between quality management system model to ISO standards
Facilities and Safety
• How facility design impacts the efficiency and safety of laboratory workers
• Essential practices to prevent or reduce risks
• Personal protective equipment (PPE) that should be used routinely by laboratory workers
• General safety requirements for the laboratory
• Steps to be taken in response to emergencies such as biological or chemical spills, or laboratory fires
Equipment
• Key considerations prior to purchasing laboratory equipment
• How to manage the selection and acquisition of new equipment
• Requirements for a preventive maintenance program for equipment
• Importance of developing a preventive maintenance program in a laboratory
• How to retire old or outdated equipment
Purchasing and Inventory
• Steps required to implement an inventory control program
• Factors to consider in procurement of supplies
• Developing a monitoring plan for the inventory system
• Importance of documentation related to purchasing and inventory
Process control
Sample Management
• Common sample collection errors that could lead to incorrect laboratory examination results
• Key contents that should be included in a handbook designed for people who collect
• samples off-site
• Rationale for rejecting unsatisfactory samples
• Sample handling system, including collection, transport, storage, and disposal
• Importance of maintaining sample integrity and assuring that all regulations and requirements are met when transporting samples

Introduction to Quality Control
• Definition of quality control and describe
• Relationship between quality control and overall quality management system
• Differences in quantitative, semi-quantitative, and qualitative examinations

Quality Control for Quantitative Tests
• Difference between accuracy and precision
• Selecting control material for specific examination method
• Establishing acceptable control limits for a method when only one level of control material is available
• Use of Levey-Jennings chart
• Examples of rule violations using Westgard Multirule System
• How to correct “out of control” problems

Quality Control for Qualitative Tests
• Difference between built-in and traditional controls
• How to use stock cultures for microbiology QC
• Use of quality control procedures for stains used in microscopic examination
• Methods for verifying performance of microbiological media
Assessment: Audits
• Preparing laboratory staff for an external audit
• Planning and managing an internal audit
• How to use results from a laboratory audit
• Importance of taking corrective actions

External Quality Assessment (EQA)
• Importance of an EQA program in improving the quality of laboratory test results
• Different EQA methods and the advantages and disadvantages of each
• How to investigate an unacceptable test result from an EQA sample

Norms and Accreditation
• Comparing and contrasting accreditation, certification and licensure
• Process involved in development of standards
• Importance of laboratory norms and standards
Personnel
• Role of personnel in the quality management system
• Developing a plan to verify employee competency
• Steps involved in assessing and maintaining employee competency
• Process of maintaining personnel records

Customer Service
• Examples of laboratory customer groups
• Measuring customer satisfaction
• Common problems that may develop with customers
• Suggested solutions for customer service problems
• How quality management processes help the laboratory meet customer group needs and requirements
Occurrence Management
• Definition of the term “occurrence”
• Essential quality monitoring tools
• Preventive action, remedial action, and corrective action
• Relationships between preventive action and risk management practices
• Root cause analysis
Process Improvement
• Historical perspective of process improvement
• Importance of process improvement in maintaining quality
• Importance of tools in monitoring laboratory processes
Documents and Records
• Difference between documents and records
• Hierarchy of documents and the role of each level
• Content that should be included in a standard operating procedure
• Elements of a laboratory document management system
• Key contents of a quality manual
• Methods and tools to properly store documents and records
Information Management
• Important elements of an information management system
• Key considerations when developing a manual, paper-based information system
• Advantages and disadvantages of a computerized information management system
Organization
• Organizational elements needed for a quality management system
• Management roles and responsibilities in a quality system
• Designing, implementing, maintaining, and improving the laboratory quality system
• Purpose of a quality manual

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

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Events / Nutrition Assessment And Survey Using ENA EPIINFO by FINERESULTS(m): 9:51am On Jul 08, 2023
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.

14th to 18th August 2023 Nutrition Assessment and Survey using ENA EPIINFO
16th to 20th October 2023 Nutrition Assessment and Survey using ENA EPIINFO

INTRODUCTION
Poor nutritional is a leading cause of most non-communicable diseases and shortened life-span. Nutritional assessment and survey are done to obtain information about the prevalence and geographic distribution of nutritional disorders within a community or a specified population group. The purpose of Epi Info/ENA software is to make analysis of nutrition and mortality data collected in field surveys as easy and reliable as possible.

DURATION
5 Days

COURSE OBJECTIVES
By the end of the training, participants should be able to:
• Understand the importance of nutrition assessments and survey
• Understand the basic anthropometric techniques application and reference standards
• Gain a general knowledge of how to install and work with ENA and EpiInfo software programs
• Install and work with ENA/EpiInfo Software
• Gain knowledge on how to program data entry forms
• Conduct automated plausibility and data quality checks
• Produce automated analyses of key mortality and nutrition indicators
• Generate reports that include results of these automated analyses.

COURSE OUTLINE
Module 1: Introduction
• Definition of terms
• Purpose of nutritional assessment and survey
• Methods of nutritional assessment
• Anthropometric and malnutrition

Module 2: Introduction to ENA Software
• Installation of the software
• Survey planning using ENA
• Data collection using ENA
• Data analysis and reporting using ENA
• Quality and credibility check

Module 3: Introduction of EpiInfo Software
• Installation of the software
• Creating a questionnaire using EpiInfo
• Data entry using EpiInfo
• Basic Data Management and Analysis using EpiInfo
• Calculating Anthropometric Measures using EpiInfo
• Reading and writing different formats using EpiInfo
• Intermediate Data Management & Analysis using EpiInfo

Module 4: ENA/EpiInfo Software
• Introduction to ENA/EpiInfo software
• Installation of the software
• Advantages of ENA/EpiInfo

Module 5: Working With ENA/EpiInfo Software
• Creating a survey questionnaire from scratch
• Making a survey with the questionnaire template of ENA/EpiInfo software
• Entering data into the questionnaire
• Importing survey data from another software
• Automatic generation of the data quality report
• Automatic generation of the anthropometry graphs and survey report
• Settings of the program
• Survey planning and sample size calculation
• Training anthropometry exercise in ENA/EpiInfo

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 1000
Online USD 900
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

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