Qualitative Data Analysis II   

Prof. Paré is an excellent, experienced, and knowledgable instructor. I will urge my colleagues to also attend her course in the future. — participant from Singapore

This course provides participants advanced training in qualitative content analysis, thematic analysis, cross-case analysis, and grounded theory with the NVivo software for computer-assisted qualitative data analysis (CAQDAS). After discussing each of these four methods separately, the course also covers how components of different methods can be integrated in a single project, discussing both the promises and potential pitfalls of an integrative approach, as well as the criteria for assessing the quality of qualitative research. Participants learn a wide array of approaches to generating codes, cutting-edge techniques for transforming qualitative data into findings, and state-of-the-art strategies for presenting qualitative findings in evocative and convincing ways that are useful for anyone working on a PhD, postdoctoral research, contract work, government studies, etc.

This course is the second part in a two-course sequence. It requires participants to be familiar with the material covered by Qualitative Data Analysis I or have a background in qualitative data analysis and prior experience with NVivo.


This one-week, 17.5-hour course runs Monday-Friday, 9:00 am-12:30 pm, July 8-12, 2019.


Marie-Hélène Paré (picture), Open University of Catalonia

Detailed Description

This course is designed for participants, who wish to acquire general methodological expertise in qualitative data analysis and, more specifically, widen their understanding and applied skills in conducting qualitative content analysis (Schreier 2012), thematic analysis (Boyatzis 1998), cross-case analysis (Miles and Huberman 1994), and grounded theory (Strauss and Corbin 1998). By covering these four methods together with CAQDAS software, the course fills a critical gap in the qualitative literature and methods training that tend to focus on either software or abstract theory of qualitative research.

While Qualitative Data Analysis I teaches the basic concepts and procedures that all methods for qualitative analysis share, this course goes deeper in the complexity of these concepts and explores their application in four methods that are extensively used across a wide variety of social science disciplines, incl. sociology, psychology, and business studies. Each method is examined in terms of its key design features, type of research question it intends to answer, and methodological strength and limitations. The methods’ coding procedures, analytical strategies, and data display conventions are then implemented in NVivo.

The course concludes with an overview of the possibilities and potential pitfalls of integrating components of the four methods in a single study as well as a discussion of the criteria for assessing the quality of qualitative data analysis.

Upon completion of this course, participants will be able to:

  • Describe the aim, objectives, and characteristics of qualitative content analysis, thematic analysis, cross-case analysis, and grounded theory

  • Demonstrate how each method suits a given research design

  • Implement each method’s coding and analytic procedures in NVivo

  • Generate graphs that demonstrate each method’s findings


We strongly encourage participants to combine this course with the introductory Qualitative Data Analysis I. The course presumes a solid conceptual and practical grounding in qualitative research, and participants should have experience with the NVivo software.


Participants are expected to bring a WiFi-enabled laptop computer and should download the 14-day free trial version of NVivo Pro for Windows or Mac in preparation for this course. Due to the restrictions of the free trial version, which cannot be reinstalled on the same computer after the end of the trial period, participants should only install it on the first day of the course. Please ensure that NVivo works well on your laptop, and consult the QSR International website for self-help resources or to submit a support request if you experience installation problems.

Core Readings

Barbour, Rosaline S. 2014. Quality of Data Analysis. In: Flick, Uwe, ed. The Sage Handbook of Qualitative Data Analysis. Thousand Oaks, CA: Sage Publications.

Boyatzis, Richard E. 1998. Transforming Qualitative Information: Thematic Analysis and Code Development. Thousand Oaks, CA: Sage Publications.

Burns, Nancy. 1989. Standards for Qualitative Research. Nursing Science Quarterly 2: 44-52.

Miles, Matthew B., and A. Michael Huberman. 1994. Qualitative Data Analysis: An Expanded Sourcebook. 2nd edition. Thousand Oaks, CA: Sage Publications.

Schreier, Margrit. 2012. Qualitative Content Analysis in Practice. Thousand Oaks, CA: Sage Publications.

Strauss, Anselm L., and Juliet Corbin. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. 2nd edition. Thousand Oaks, CA: Sage Publications.

Suggested Readings

Bernard, H. Russell., Amber Y. Wutrich, and Gery W. Ryan. 2017. Analyzing Qualitative Data: Systemic Approaches. 2nd edition. Thousand Oaks, CA: Sage Publications.

Gibson, William J., and Andrew Brown. 2009. Working with Qualitative Data. Thousand Oaks, CA: Sage Publications.

Grbich, Carol. 2013. Qualitative Data Analysis: An Introduction. 2nd edition. Thousand Oaks, CA: Sage Publications.

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