In the academic year 2022-2023 this course will take place both online as offline. Location: T19-01.
November 7 2022
March 10 2023
In qualitative research, coding means giving tags to texts, images, video or audio as a way to yield a systematic understanding of the contents of data. Programs such as ATLAS.ti facilitate and systematize this coding process and the analysis of the resulting collective of codes .
Please note that this course is an extended version on the ATLAS.ti practicum offered in the course Qualitative Data Analysis with Grounded Theory (QDA). Specifically, this course and the ATLAS.ti explanation in the QDA course are based on the same video tutorials. However, if you already attended the QDA course and like to spend more time with others discussing, exercising and reflecting on qualitative coding and analysis, you are of course welcome to join this ATLAS.ti course.
This course explains qualitative coding and analysis in general and in ATLAS.ti in particular in two meetings. The first session is with the full class and includes hands-on exercises. The second meeting is optional and bilateral (between instructor and student), and offers students the opportunity to get feedback on their coding and first analytic results.
The course focuses on the inductive form of coding, which is typical of qualitative research. Inductive coding means that codes are found “bottom-up”, based on an exploration of data (rather than determined before the analysis and operationalized in a code book, which is more typical of quantitative content analysis).
Further, this course focuses on the practical aspects of qualitative coding and analysis. Please attend our other course (if available) on qualitative data analysis for a more substantive discussion of the theoretical embedding, quality indicators and write-up of research based on qualitative data analysis.
The course will focus on the qualitative coding and analysis of textual data (e.g. policy documents or interview transcripts). While the principles for qualitative coding and analysis of textual data generally apply also on visual or audiovisual data, in this course we will not focus on how to assess visual or audiovisual data with ATLAS.ti.
During the course participants will be enabled to ask questions about qualitative coding and analysis with regard to their own research. Participants may also practice on data from their own research, if possible. If that’s not possible, participants will be given data by the instructor to practice on.
After completing this course, participants will:
- Understand the purpose of qualitative coding;
- Know how to do qualitative coding;
- Be able to use the program ATLAS.ti for qualitative coding and analysis;
- And understand the benefits of software such as ATLAS.ti.
For session 1, please:
- Bring data from your own research, if possible and if you want to practice on that data.
- Bring a fully charged laptop with you, with version 9 of ATLAS.ti installed on it. Please do not install version 22, even if somehow you would have access to that version. Version 22 was recently launched with some small changes, but licensing at Erasmus University (and other universities) has not yet been arranged for that version.
- Bring (preferably) the Windows version of ATLAS.ti with you, because we will discuss and practice that version. The Windows version may be quite different from the Mac version. If you are prepared to find out by yourself (during session 1) how the Mac version works, then you may also bring the Mac version with you.
- Find the installation instructions for EUR-employees for ATLAS.ti here: https://my.eur.nl/en/eur-employee/ict/software/download-software-licences/atlasti. Erasmus University has a license for this program. Please follow the instructions precisely. Don't use your personal e-mail address to make an account for ATLAS.ti, but use your EUR e-mail.
- Do all of the above well in advance of the course and notify the course instructor if there are any problems as soon as possible.
For session 2 there are no specific preparations required.
Session 1: Using ATLAS.ti for qualitative coding and analysis
- Demonstrations, exercises and discussions with regard to the principles of qualitative coding and analysis, in general and in ATLAS.ti.
Session 2 (optional): Feedback on your coding and results
- Participants receive further individual feedback from the instructor on their coding and, if preferred and possible, their first findings.
Dr. Fadi Hirzalla is the Graduate School’s senior lecturer and methodology consultant. He specializes in quantitative and qualitative methodology, next to his substantive interests in citizenship and new media, with a particular focus on intercultural relations and young people. Prior to joining the Graduate School, he worked at the University of Amsterdam and Utrecht University.