TRAINING COURSE ON DATA MANAGEMENT AND ANALYSIS FOR QUALITATIVE DATA USING NVIVO
Details
Start Date: 21/02/2022 End Date: 25/02/2022 for 5 days
Organizer: DATA-AFRIQUE CONSULTANCY
Course fee: USD 1,000
INTRODUCTION
Qualitative data is normally unstructured and at times overwhelming to researchers given that the data can cover a larger scope than that of the study. Technology facilitates the ease of managing and analyzing qualitative data to researchers. This course aims to ease the process of managing and analyzing data using the NVIVO software.
COURSE OBJECTIVES
By the end of this course the participants will be able to:
- Determine the approaches of qualitative analysis
- Differentiate the various methods used in collecting qualitative data
- Develop a project using NVIVO
- Develop a qualitative data analysis framework using NVIVO
- Undertake qualitative data analysis using NVIVO
- Create a qualitative report
DURATION
5 Days
WHO SHOULD ATTEND
This course target researchers using qualitative data who want to use technology in the management and analysis of qualitative data.
COURSE OUTLINE
Qualitative research introduction
- Understanding qualitative research
- Qualitative methods dimensions
- Approaches to qualitative research
- Methods of data collection for qualitative research
- Qualitative research design
Qualitative data analysis
- Understanding qualitative data analysis
- Inductive and deductive approaches of qualitative data analysis
- Text data analysis
- Qualitative data analysis principles
- Qualitative data analysis process
Introduction to NVIVI
- Key terms of NVIVO
- Interface of NVIVO
- NVIVO workspace
- NVIVO ribbons usage
- NVIVO nodes (theme, case, relationship, nodes matrices)
Coding
- Data versus theory driven coding
- Descriptive coding
- Analytic coding
- Tree coding
- Thematic coding
Analysis using NVIVO
- Organization, storage and retrieval of data
- Usage of cluster sources
- Frequency queries to determine text searches and word counts
- Themes and structures
Interpretation of qualitative analysis results
- Analysis findings and research questions comparison
- Summary of findings
- Conclusion
Schedules
| Weekdays | 08:00 AM — 04:00 PM |
| Weekdays | 08:00 AM — 04:00 PM |
| Weekdays | 08:00 AM — 04:00 PM |
| Weekdays | 08:00 AM — 04:00 PM |
| No. of Days: | 5 |
| No. of Participants: | 100 |
Data-Afrique has collaborated with Government ministries, agencies and departments, UN agencies, Non-Governmental Organizations, from Europe, Africa, Asia, Middle-East and the Caribbean.
We have also worked with academic institutions, international research organizations, financial institutions and private companies from across the globe. By nurturing a culture of collaboration, we attract the highest calibre of people who have the ability and desire to influence and shape the future.
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