Qualitative Data Analysis   

Prof. Bergman is such a great, enthusiastic, and helpful instructor. In addition to teaching the course, he provided each of us with individual consultations and in-depth feedback on our own research projects. — participant from China

This course covers introductory and advanced issues on how to analyze non-numeric data. While the primary focus is on the analysis of textual data, most of the covered methods and techniques are also applicable to audio and visual data. Examples of data suitable for qualitative analysis include interview transcripts, focus group recordings, print media, archival documents, government reports, year-end reports of companies, blogs, meeting notes, and social media postings. The first part of the course addresses the selection and preparation of non-numeric data for systematic qualitative analysis. The second part covers different groups of data analysis techniques. The third deals with quality concerns in qualitative data analysis, and the fourth with how to present and defend qualitative data analysis. Finally, qualitative data analysis will be explored from a mixed methods perspective.

This course is the second part in a two-course sequence. It is designed as a follow-up to our Interview and Focus Group Research course. However, it can be taken as a stand-alone course by anyone interested in qualitative data analysis.


Dates

This one-week, 20-hour course runs Monday-Friday, 9:00 am-1:00 pm, June 26-30, 2017.


Instructor

M. Max Bergman (picture), University of Basel


Detailed Description

This course teaches participants how to analyze data for qualitative research. It addresses a wide variety of introductory and advanced issues in qualitative data analysis. It primarily focuses on the analysis of textual data, such as interview transcripts, focus group recordings, print media, archival documents, government reports, year-end reports of companies, blogs, meeting notes, and social media postings. However, many of the methods and techniques covered in class presentations and exercises can also be used to analyze audio and visual data, such as podcasts, YouTube videos, advertisements, political speeches, etc.

The first part of the course deals with selection and preparation of non-numeric data for systematic qualitative analysis. The second part covers different groups of data analysis techniques, including qualitative content analysis, thematic analysis, and discourse analysis. The third part addresses quality concerns in qualitative data analysis, from attempts to transfer quantitative validity and reliability measures to qualitative research to alternative forms of quality criteria that can be more suitable for qualitative research. The fourth part provides strategies for how to integrate qualitative data analysis into a research design as well as how to present qualitative findings and to defend qualitative data analysis against the most typical critiques. The fifth and final part of the course explores qualitative data analysis from a mixed methods perspective.

By the end of the course, participants know how to set-up, conduct, present, and defend different forms of qualitative data analyses, and they are given the opportunity to present and discuss their own research in in-class exercises and individual meetings with the instructor.

While this course follows-up on the Interview and Focus Group Research course that focuses on data collection for qualitative research, it can be taken as a stand-alone qualitative methods course.


Prerequisites

There are no prerequisites for this course.


Requirements

Participants are expected to bring a WiFi-enabled laptop computer. Access to data, temporary licenses for the course software, and installation support will be provided by the Methods School.


Core Readings

Will be provided.


Suggested Readings

Silverman, David. 2016. Qualitative Research. 4th edition. Thousand Oaks, CA: Sage Publications.


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