Data Management and Analysis for Qualitative Data using NVIVO Training Course

Data Management and Analysis for Qualitative Data using NVIVO Training Course

About the Course

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.

Target Participants

This course is aimed at qualitative researchers who want to advance their approach to qualitative data management and analysis.

What you will learn

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

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 the 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

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

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 an annotation to selected content
• See also link

Queries using NVIVO

• Queries for textual analysis
• Queries for exploring coding

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
• Treemaps and cluster analysis diagrams

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 the respondent on a similar topic

Qualitative Report Writing

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

METHODOLOGY

The instructor-led pieces of training are delivered using a combined learning approach and comprise of presentations, practical sessions, and online tutorials. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with Profound Research Services (PRC) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at PRC Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater for travel expenses, visa application(where applicable), insurance among other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 74040112

TAILOR-MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our PRC Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 74040112 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to PRC account through bank on or before C.O.B. 17th January 2022.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it. 

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.