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Qualitative Data Analysis: Concepts and Techniques (RSS1.15) - Confirmed

This introductory course immerses participants in the fundamental principles, strategies, and techniques of qualitative data analysis. By offering hands-on training with QDA software, participants are equipped to master two popular data analysis techniques: thematic analysis and qualitative content analysis.

Duration: one-week.



    The application deadline has passed, applying is no longer possible

    Your hard-to-collect qualitative data becomes valuable only when you know how to analyze it. Yet, not all data analysis methods are equally good and suitable for all. This course is designed to equip participants with the knowledge and skills essential for adeptly working with qualitative data, including interview or focus group transcripts, documents, media and social media data, observation notes, and more. Its approach is comprehensive and practical, specifically targeting four pivotal challenges that, if overlooked, could undermine confidence in qualitative research:   

    1. Collecting and analyzing data without sufficient consideration of the research context. 
    2. Coding collected data without succumbing to data overload or overly rigid application of theoretical frameworks. 
    3. Ensuring the quality of conclusions drawn from the data. 
    4. Securing clear and comprehensive documentation and reporting. 

    Through interactive lectures, assignments, group activities, and practical exercises using sample data in NVivo (and other QDA software), the course not only identifies these challenges but also offers practical solutions. It begins with participants distinguishing between key qualitative approaches and aligning their research projects accordingly. Subsequently, it explores coding qualitative data and deriving quality conclusions, enabling participants to apply techniques from two widely used data analytic methods: thematic analysis and qualitative content analysis. Lastly, it covers a range of documentation methods and addresses best practices for transparent and effective methodological reporting. 

    By adopting this problem-solution approach, participants not only grasp fundamental concepts but also develop the ability for reflective design and execution of their own data work. 


    Watch what our participants say about their experience!

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    Starting date

    17 June 2024, 9 am
    Educational method
    Main Language
    17 June 2024, 9 am - 21 June 2024, 5 pm
    Anka Kekez
    Unique code


    Type of education
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    See the requirements in cost and admission
    Study load (ECTS)
    Radboud Summer School

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    Anka Kekez

    Anka Kekez

    Anka Kekez is an assistant professor at the Faculty of Political Science at the University of Zagreb, Croatia where she teaches public policy, public management, and qualitative methodology. She has extensive experience teaching and tutoring qualitative methods and qualitative data analysis (particularly utilizing Nvivo) across diverse educational enviroments. Recently, Anka received MethodsNET Pedagogical Excellence Award as the instructor of the Qualitative Data Analysis course conducted at the 1st Summer School in Social Research Methods held in Nijmegen, the Netherlands, in 2022. Her research focuses on policy implementation, service delivery, public management reforms, policy design, collaborative governance, political meta-governance, and clientelism. Using variety of qualitative data analytic methods, Anka has published papers at the Policy and Society, the Policy Sciences, the Policy Design and Practice or the Journal of Comparative Policy Analysis, among others. In 2019, she co-edited the book "Collaboration in Service Delivery: Promise and Pitfalls" with Michael Howlett and M Ramesh. With 19 years of experience in social development, Anka has been involved in designing and implementing applied policy research. Since 2022, she has served as a co-chair of the Public Policy Study Group of the European Group for Public Administration. Additionally, since 2023, Anka has joined the team of Academic Coordinators of the Methods Excellence Network (MethodsNET).

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    • Regular: €1049 (application deadline 13th of May)
    • Student & PhD's: €699 (application deadline 13th of May)

    Includes: your course, short morning and late afternoon courses, coffee and tea during breaks, a warm lunch every day, Official Opening, MethodsNET Café (including some drinks and snacks) Official Closing (with some drinks and snacks) and a 1-year (2024 calendar year) free membership as MethodsNET regular member.

    Excludes: transport, accommodation, social events and other costs. 

    Discounts and Scholarships


    Level of participant: 

    • Master
    • PhD
    • Postdoc
    • Professional

    Admission requirements: 

    Participants are expected to have a basic understanding of qualitative research design. The course includes exercises using sample data provided by the instructor, utilizing NVivo software. While these exercises will introduce NVivo's basic functionalities, prior familiarity with the software is not required, but is welcomed. A 14-day free trial version will be available for use during the course, eliminating the need for purchasing the software. Moreover, participants currently utilizing other QDAS tools such as ATLAS.ti and MAXQDA can also follow and engage in exercises using their respective software packages.

    Admission documents: