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Introduction to NVivo (RSS00.07) - Closed

This one-week online course takes a deep dive into the world of software-assisted qualitative data analysis. It aims to equip you with the essential skills of using NVivo for data management, analysis, and reporting on qualitative research. You will pick up on NVivo’s key concepts and functionalities for a seamless experience in qualitative data analysis from start to finish.

 

    General

     

    This course is closed, registration is no longer possible. 

    The use of software in qualitative research is exploding. Yet, quality guidance on how to make meaningful use of tools for qualitative data analysis (QDAS) is still scarce. This course offers a contextualized and comprehensive understanding of NVivo as a leading QDAS tool. You will acquire essential software skills for conducting qualitative research in NVivo, whilst being able to fully take into account all the benefits and limitations of computer-assisted analysis. 

    Within this course, you will not only have the opportunity to sharpen your technical software knowledge, but also to turn knowledge into tangible skills based on a variety of practical assignments, group activities and exercises based on sample data and individual data from each participant. Morning sessions establish the knowledge basis for data management, coding, analysis, and reporting in an interactive environment.  The course is open to researchers at all stages of research. The afternoon sessions will be reserved for practicing the use of NVivo, and you are highly encouraged to use your own qualitative data (interviews, focus groups, documents, social media data etc.) whenever possible. Though, mock data for those in the earliest stages of research will be available for use

    After successful completion of this course you will be able to import data into NVivo, set up a project and manage various types of data sources. Furthermore, you will be able to explore data and apply different techniques of coding (incl. auto-coding and AI-assisted coding) suited to different types of data in NVivo, select the appropriate strategy for coding data suited to different disciplinary tradition, understand and apply queries in NVivo to analyze data and seek patterns, and utilize various data visualization tools to present research results effectively.

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    Cannot join us this year? 

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    Starting date

    10 June 2024, 9 am
    Educational method
    Online
    Main Language
    English
    Sessions
    10 June 2024, 9 am - 14 June 2024, 5 pm
    Teacher(s)
    Mario Munta
    Unique code
    RSS00.07

    Factsheet

    Type of education
    Course
    Entry requirements
    None
    Study load (ECTS)
    1
    Result
    Certificate
    Organisation
    Radboud Summer School

    Specifically, this course extensively covers five cornerstones of NVivo, these cornerstones are: 

    • Getting started with NVivo
      On Day one, you will explore the basics of NVivo – how to import different types of data into NVivo, set up a project, manage different data types, and use basic NVivo functionalities.
       
    • The basics of coding data in NVivo. How to code data in NVivo? 
      On Day two, you will explore the different ways of generating codes (nodes) manually, automatically and with the help of artificial intelligence (AI). 
       
    • Different approaches to coding
      On Day three, you will learn how to organize codes into groups of nodes in a meaningful way. "
       
    • Seeking patterns and queries. Software is not magic
      On Day four, you learn how to best utilize different tools in NVivo for conducting data analysis. 
       
    • Data visualization and reporting of findings
      On Day five, we explore a range of different data visualization tools available in NVivo - charts, hierarchy diagrams, comparison diagrams, explore diagrams, concept maps, and mind maps. 

    Online Course

    This is an online course, which means that unfortunately the social activities of the Radboud Summer School do not apply to this course. In addition, the program will also differ from the weekly schedule published on the website. 

    Two weeks before the course starts you will be added to our online learning environment Brightspace, where the new times will be communicated.

    Mario Munta

    Mario Munta

    Mario Munta is Assistant Professor of EU Public Policy at the Faculty of Political Sciences, University of Zagreb, and a former Max Weber Fellow at the European University Institute in Florence. He received his PhD in Political Science from the Central European University. He is one of the founding members of the MethodsNET network. Over the years, Mario has accumulated extensive experience in teaching and using NVivo for qualitative data analysis. He worked as a visiting professor and researcher at numerous universities, including Université Libre de Bruxelles, KEDGE Business School in Bordeaux, and the James Madison University. His research interests include EU socio-economic governance, the European Green Deal (EGD), Europeanization of public policy, Social Europe, and Economic and Monetary Union. Mario regularly teaches on EU Public Policy, and Europeanisation of public policies. He is co-founder of the Centre for Policy Writing which focuses on policy writing with impact through policy briefs and op-eds. He is recipient of several international academic awards, including an award for pedagogical excellence in qualitative data analysis.

     

    This course is closed, registration is no longer possible. 

     

    Costs

    • Regular: €699 (application deadline 1st of May)
    • Student & PhD's: €466 (application deadline 1st of May)

    Discounts and Scholarships

    Admission

    Level of participant: 

    • Master
    • PhD
    • Postdoc
    • Professional

    Admission requirements: Prior to the course, you will have to install a 14-day free trial version of NVivo (Windows or Mac) to your laptops. This is an essential prerequisite to harness a smooth and hands-on experience. 

    Admission documents: None