Qualitative Comparative Analysis (QCA) provides a bridge between case-oriented and variable-oriented research methods. It is rapidly making inroads in the social sciences.
This master class is designed for participants who are familiar with the basics of QCA. Participants without any QCA experience or previous formal QCA training are strongly recommended to first complete the master class Qualitative Comparative Analysis: An introduction.
This course will run from 9.30am to 4pm* online via Zoom.
Please look at the syllabus for timetable details.
*Please note: Courses will run on Australian Eastern Daylight Time (GMT +11)
(ie Melbourne, Sydney, Canberra daylight savings time. There will be 5 different time zones to consider in Summer)
Professor Jeroen van der Heijden – With 20+ years of international research experience, Jeroen specializes in climate change solutions for urban environments, encompassing both mitigation and adaptation strategies. His journey includes an MSc in Architecture and Ph.D. in public administration from TU Delft (Netherlands) and academic roles at institutions worldwide, including professorships at the Australian National University (Australia), Amsterdam University (Netherlands), and the Victoria University of Wellington (New Zealand). He has authored over 80 peer-reviewed articles, 70 book chapters, and notable books on urban climate governance and action—many of which include applications of QCA.
Since 2007, he has been applying QCA in various research projects and has been teaching the method since 2017. More information on Jeroen’s work is available from www.jeroenvanderheijden.net.
This is an intermediate master class. In it, we will go through the 10 steps of a full QCA project. It is expected participants are familiar with the basics of QCA, as, for example, taught in the ACSPRI master class Qualitative Comparative Analysis: An introduction.
The 10 steps we undertake in this master class are:
1. Explaining the theoretical motivations for choosing QCA for your project
2. Selection of outcomes and conditions
3. Explaining the limitations that come with the number of conditions chosen
4. Calibration of data
5. Develop a raw data matrix
6. Analysis of necessary conditions
7. Analysis of sufficient conditions: truth table
8. Analysis of sufficient conditions: choice of solution term
9. Presentation of results
10. Testing robustness and interpretation of results
By the end of the master class, you will be able to carry out a full QCA (crisp set and fuzzy set) and present it to an audience of expert QCA users as well as a lay-audience.
The target audience for this master class are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the basics of QCA.
Day 1
• 9:30-10:00, Introductory session:
◦ Who is who? Why have you chosen this course? What do you expect to get out it?
◦ What are we going to do over the next two days? What are we not going to do?
• 10:00-11:00, The first 4 steps:
◦ Explaining the theoretical motivations for choosing QCA for your project
◦ Selection of outcomes and conditions
◦ Explaining the limitations that come with the number of conditions chosen
◦ Calibration of data
• 11:00-11:15, Short break
• 11:15-12:30, Step 5: Develop a raw data matrix
• 12:30-1:30, Lunch
• 1:30-2:30, Reflection: necessary, sufficient, INUS and SUIN conditions
• 2:30-3:30, Step 6: Analysis of necessary conditions
• 3:30-4:00, Open discussion, recap of today’s terminology and concepts:
◦ INUS condition, consistency, coverage, trivial necessary conditions
• 4:00, Day ends
Day 2
• 9:30-10:30, Step 7: Analysis of sufficient conditions – truth table
◦ Dealing with conflicts
◦ Dealing with logical remainders
• 10:30-11:00, Intermezzo: working with negated data in QCA
◦ Asymmetry
• 11:00-11:15, Short break
• 11:15-12:30, Step 8: Analysis of sufficient conditions – choice of solution term
◦ Complex solution, intermediate solution, parsimonious solution
• 12:30-1:30, Lunch
• 1:30-2:30, Step 9: Presentation of results
• 2:30-3:30, Step 10: Testing robustness and interpretation of results
• 3:30-4:00, Open discussion, recap of today’s terminology and concepts:
◦ Raw-consistency, PRI-consistency, negated data, complex solution, intermediate solution, parsimonious solution, easy counterfactuals, difficult counterfactuals
• 4:00, Workshop ends
This course will be delivered 'live' online using Zoom.
It is expected that participants familiarize themselves with the QCA software (freeware) will use in class in preparation for this master class. This software, fs/QCA 3.0, is available from: http://www.socsci.uci.edu/~cragin/fsQCA/software.shtml
The target audience for this master class are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the basics of QCA. The master class will at times be high pace and you will need to be able to understand the following concepts prior to participating in this master class: conjunctural causation, equifinality, necessity and sufficiency (in the context of QCA), logical minimisation, set theory and Boolean algebra (in the context of QCA), and data calibration (limits, membership, threshold point).
If you are not yet familiar with the basics of QCA, it is strongly recommended that you first complete the master class Qualitative Comparative Analysis: An introduction.
The instructor's notes will serve as the course text.
• Schneider, C. and C. Wagemann (2012). Set-Theoretic Methods for the Social Sciences. Cambridge, Cambridge University Press.
• van der Heijden, J. (2017). Innovations in Urban Climate Governance: Voluntary Programs for Low-Carbon Buildings and Cities. Cambridge, Cambridge University Press.
Other readings:
• Ragin, C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago, Chicago University Press.
• Rihoux, B. and C. Ragin (2009). Configurational Comparative Analysis. London, Sage.
Q: Do I have to have had any qualitative research experience to do this course?
A: Yes, you will have been expected to have experience with at least one qualitative research project or have undertaken an introductory level course in qualitative research methods.
Q: Do I have to have had any experience with QCA to do this course?
A: Yes. The master class will at times be high pace and you will need to be able to understand the following concepts prior to participating in this master class: conjunctural causation, equifinality, necessity and sufficiency (in the context of QCA), logical minimisation, set theory and Boolean algebra (in the context of QCA), and data calibration (limits, membership, threshold point).
If you are not yet familiar with the basics of QCA, it is strongly recommended that you first complete the master class Qualitative Comparative Analysis: An introduction. It is also strongly recommended to familiarise yourself with the recommended texts before participating in this master class; particularly Schneider and Wagemann (2012).
Q: I already have some experience with QCA. Will I get anything out of this introductory course?
A: You absolutely will. Dr
Professor Jeroen van der Heijden – With 20+ years of international research experience, Jeroen specializes in climate change solutions for urban environments, encompassing both mitigation and adaptation strategies. His journey includes an MSc in Architecture and Ph.D. in public administration from TU Delft (Netherlands) and academic roles at institutions worldwide, including professorships at the Australian National University (Australia), Amsterdam University (Netherlands), and the Victoria University of Wellington (New Zealand). He has authored over 80 peer-reviewed articles, 70 book chapters, and notable books on urban climate governance and action—many of which include applications of QCA.
Since 2007, he has been applying QCA in various research projects and has been teaching the method since 2017. More information on Jeroen’s work is available from www.jeroenvanderheijden.net.
The instructor's notes will serve as the course text.