Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment

Qualitative data analysis

Date: 27 June 2017 - 06 July 2017
Location: Leeuwenborch, Wageningen University

Qualitative data analysis (QDA) is a generic term for methods and techniques that are used for drawing conclusions from qualitative data, such as written text, (transcriptions of) open interviews, and visual material.

Aims and working method

The course focuses on Grounded Theory as a dominant approach to QDA, but other approaches (particularly discourse analysis and semiotics) will also be discussed.

There are four sessions of workshops with mini-lectures and practical, participatory training exercises. Scroll down for a detailed breakdown of the course sessions. Participants will be informed well in advance on how to prepare for the sessions.

Target group

This course is best suited for PhD candidates that have already collected or are about to collect data for their PhD project, and that are not familiar with the methodology and method of coding and analyzing qualitative data and reporting the results of QDA.

Learning objectives After this course you will be able to:

  • understand the methodology of QDA
  • understand differences and similarities between different approaches to QDA
  • code your qualitative material, using CAQDAS software (i.e., Atlas.ti);
  • understand how to analyze your coded material;
  • make informed decisions about how to report a QDA-based study;
  • and all of the above with regard to your own research and data.

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