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 is 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 datamanagement 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.
- Basic Computer Skills.
- Laptop/Computer With preferably Windows Installed
- Passion for QUALITATIVE Analysis.
- You need not prior knowledge of NVIVO
This course is aimed at qualitative researchers who want to “technologize” their approach in qualitative data management and analysis.
1. Understand qualitative analysis approaches
2. Understand dierent qualitative data collection methods
3. Set up a project in NVIVO
4. Create a framework for qualitative data analysis using NVIVO
5. Carry out qualitative data analysis using NVIVO
6. Write a qualitative report
This course aimsto build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitativesoftware. This software has many features that can assist to simplify the whole process of doing qualitative
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DAY ONE: INTRO TO QUALITATIVE RESEARCH, DATA ANALYSIS AND NVIVO
Day one is to familiarise with the course, introduce tools for qualitative research and understand the approaches in Qualitative data analysis
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Session 1: INTRO TO QUALITATIVE RESEARCH
1. What is qualitative research?
2. Dimensions of qualitative methods
3. Qualitative research approaches
4. Qualitative data collection methods
5. Qualitative research study design
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Session 2:PRELIMINARIES OF QUALITATIVE DATA ANALYSIS
1. What is qualitative data analysis?
2. Approaches in Qualitative data analysis; Deductive and Inductive approach
3. Points of focus in analysis of text data
4. Principles of Qualitative data analysis
5. Process of Qualitative data analysis
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Session 3:INTRO TO NVIVO AND NVIVO PROJECTS
1. NVIVO Key Terms
2. NVIVO Interface
3. NVIVO Workspace
4. Use of NVIVO Ribbons
5. Creating New projects
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Day TWO: NODES, CLASSIFICATION AND CODING IN NVIVO
Will be diving into NVIVO and look into Nodes, ways of classifying data and coding.
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Session 4: NODES IN NVIVO
1.Theme codes.
2. Case nodes
3. Relationships nodes
4. Node matrices
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Session 5: CLASSIFICATION IN NVIVO
1. Sources of Classification
2. Case Classification
3. Node Classification
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Session 6: CODING IN NVIVO
1. Data-driven vs theory-driven coding
2. Analytic Coding
3. Descriptive Coding
2. Thematic Coding
3. Tree Coding
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DAY THREE: THEMATIC ANALYSIS USING NVIVO, QUERIES USING NVIVO
& BUILDING ON THE ANALYSISDay three we look at Thematic analysis and ways of querying data using NVIVO
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Session 7: THEMATIC ANALYSIS USING NVIVO & QUERIES USING NVIVO
1. Organize, store and retrieve data
2. Cluster sources based on the words they contain
3. Text searches and word counts through word frequency queries
4. Examine themes and structure in your content
5. Queries for textual analysis
6. Queries for exploring coding
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Session 8: BUILDING On ANALYSIS
Content Analysis; Descriptive, interpretative
Narrative Analysis
Discourse Analysis
Grounded Theory
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Session 9: QUALITATIVE ANALYSIS RESULT INTERPRETATION
Comparing analysis results with research questions
Summarizing finding under major categories
Drawing conclusions and Lesspns Learnt
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DAY FOUR: VISUALIZATION, TRIANGULATION
and QUALITATIVE REPORT WRITING.Complete training with visualization through drawing charts, report writing and triangulation of various data sources
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Session 10: VISUALIZATION NVIVO PROJECT
1. Display data in Charts
2. Creating models and graphs to visualize connections
2. Tree maps and Clsuter Analysis diagrams
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Session 11: TRIANGULATION OF DATA SOURCES.
Traingulating 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
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Session 12: QUALITATIVE REPORT WRITING.
Qualitative Report Format
Reporting Qualitative Research
Reporting Content
Interpretations
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This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies. Training manuals and additional reference materials are provided to the participants.
- Tuition fees.
- Writing material
- 2 mineral water per participant per day, mints.
- 10am & 4pm tea with three choice snacks
- 3 Course Buffet lunch with soft drink.
Accommodation will be arranged for our participants upon request.
Payment receipts made should be sent to info@amrecafrica.org
As an experienced Data scientist specialized in health Economics, statistics, mathematical modelling , health systems and policy research, Epidemiology, mentorship , computing , resaerch, scientific writing and publications, I highly welcome you to Amrec and recommend this course for you to develop your analytical mind to conduct better and informed analysis.
11 Jan 2021