Welcome, Guest: Join Nairaland / LOGIN! / Trending / Recent / New
Stats: 2,885,272 members, 6,931,756 topics. Date: Saturday, 25 June 2022 at 11:59 AM

Analysis Of Qualitative Data Using Nvivo. 19th -23rd /04/2021 - Events - Nairaland

Nairaland Forum / Entertainment / Events / Analysis Of Qualitative Data Using Nvivo. 19th -23rd /04/2021 (392 Views)

Qualitative Data Management And Analysis With Nvivo (concept & Approaches) Cours / Qualitative Data Management & Analysis With Nvivo (concept & Approaches) Course / Qualitative Data Management And Analysis With Nvivo (concept & Approaches) Cours (2) (3) (4)

(1) (Reply)

Analysis Of Qualitative Data Using Nvivo. 19th -23rd /04/2021 by FINERESULTS(m): 9:47am On Jan 16, 2021
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
Date: Event
19th -23rd /04/2021 : Analysis of Qualitative Data using NVivo

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

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

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

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

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

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

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

DURATION
5 Days

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

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

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

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


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

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

Classifications
• Source classifications
• Case classifications
• Node classifications

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

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

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

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

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

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

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

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

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



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




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

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

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

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

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

Visit our website for more details

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

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

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

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

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

(1) (Reply)

Billionaire Businessman Peter Adejoh Opens Luxury Hotel In Abuja / What You Need To Know About Card Expo 2015 / Tips Of The Week

(Go Up)

Sections: politics (1) business autos (1) jobs (1) career education (1) romance computers phones travel sports fashion health
religion celebs tv-movies music-radio literature webmasters programming techmarket

Links: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Nairaland - Copyright © 2005 - 2022 Oluwaseun Osewa. All rights reserved. See How To Advertise. 62
Disclaimer: Every Nairaland member is solely responsible for anything that he/she posts or uploads on Nairaland.