Microcredential ekomex Thematic Analysis Using NVivo

Content 

Enhance your qualitative data analysis skills in this two-day online course focused on thematic analysis, featuring hands-on experience with NVivo software.

What Is This Course About?
This two-day online course equips participants with essential knowledge and skills for analyzing qualitative data, including interviews, documents, media, and social media. We will focus on thematic analysis, a versatile method for uncovering meaningful patterns and themes in data and explore its application across various theoretical and empirical contexts. Participants will also gain hands-on experience applying techniques and tools from two popular methods: Reflexive Thematic Analysis and Codebook Thematic Analysis, using NVivo software.

Learning Goals

  • Gain a critical understanding of thematic analysis for identifying patterns in qualitative data and assess how to align data collection and analysis with your research context and goals.
  • Apply in NVivo techniques and tools offered by two popular qualitative data analytic methods: Reflexive Thematic Analysis and Codebook Thematic Analysis.
  • Choose the most appropriate strategy for ensuring the reliability and validity of your qualitative findings.


Recommended Readings for the Course

  • Kekez, A. (2019). “Qualitative data analysis in implementation and street - level bureaucracy research”. In: P. Hupe (Ed.) Research Handbook on Street-Level Bureaucracy: The Ground Floor of Government in Context (pp. 317-336). Cheltenham, UK and Northampton, MA, USA: Edward Elgar Publishing.                                                   
  • Braun, V., Clarke, V., Hayfield, N.& Terry, G. (2019). Thematic analysis. In P. Liamputtong (Ed.), Handbook of Research Methods in Health Social Sciences (pp. 843-860). Singapore: Springer.
  • Miles, M. & Huberman, A.M. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks, CA: Sage (second edition) – chapters 4 & 5.


Assignments for the Course

  • Actively taking part in all course activities (80%).
  • Delivering one daily assignment (short reflection or small task with sample data provided by instructor).


Schedule

  • 09:00-11:30h - Asynchronous activity (lecture video tutorial, fun follow up quiz and/or daily homework)
  • 11:30-12:30h - Time for break and lunch
  • 12:30-14:00h - Interactive lecture and hands-on work in NVivo with sample data
  • 14:00-14:30h - Break
  • 14:30-16:00h - Interactive lecture and independent small group work
  • 16.45-17:45h - Office hours


Who Is Your Instructor?
"Anka Kekez is an assistant professor at the Faculty of Political Science, University of Zagreb, specializing in public policy, public management, and qualitative methodology. She has extensive experience in teaching qualitative methods and data analysis, including NVivo, and recently won the MethodsNET Pedagogical Excellence Award. Additionally, she serves as an Associate Editor for Policy Design and Practice, co-chairs the Public Policy Study Group of the European Group for Public Administration, and is an Executive Board member and Vice Chair for internal affairs of MethodsNET.
https://www.fpzg.unizg.hr/staff/anka.kekez_kostro
https://www.linkedin.com/in/anka-kekez-06416843

Bildungszeit (can be claimed by employees in Baden-Württemberg) 
Anforderungen des Bildungszeitgesetzes Baden-Württemberg sind erfüllt
Fee 
250 EUR / Early bird 180 EUR / Please note: you will gain access to our learning management system Moodle only after having paid your course fee
ECTS Credits 
1
Contact for Questions 
komex Office
Place 
Virtual Academy
Date 
19.02.2026 (All day)
Duration 
2 study days
Lecturer 

Dr Anka Kekez Koštro

anka.kekez-kostro@fpzg.hr

Requirements 
The course involves exercises with sample data (provided by the instructor) with the NVivo software. While these exercises will foster the use of NVivo basic functionalities, there is no need for prior familiarisation with NVivo nor for purchasing the software as we will be able to use a 14-day free trial version.