Back to Qualitative Comparative Analysis (QCA)
Erasmus University Rotterdam

Qualitative Comparative Analysis (QCA)

Welcome to this massive open online course (MOOC) about Qualitative Comparative Analysis (QCA). Please read the points below before you start the course. This will help you prepare well for the course and attend it properly. It will also help you determine if the course offers the knowledge and skills you are looking for. What can you do with QCA? • QCA is a comparative method that is mainly used in the social sciences for the assessment of cause-effect relations (i.e. causation). • QCA is relevant for researchers who normally work with qualitative methods and are looking for a more systematic way of comparing and assessing cases. • QCA is also useful for quantitative researchers who like to assess alternative (more complex) aspects of causation, such as how factors work together in producing an effect. • QCA can be used for the analysis of cases on all levels: macro (e.g. countries), meso (e.g. organizations) and micro (e.g. individuals). • QCA is mostly used for research of small- and medium-sized samples and populations (10-100 cases), but it can also be used for larger groups. Ideally, the number of cases is at least 10. QCA cannot be used if you are doing an in-depth study of one case. What will you learn in this course? • The course is designed for people who have no or little experience with QCA. • After the course you will understand the methodological foundations of QCA. • After the course you will know how to conduct a basic QCA study by yourself. How is this course organized? • The MOOC takes five weeks. The specific learning objectives and activities per week are mentioned in appendix A of the course guide. Please find the course guide under Resources in the main menu. • The learning objectives with regard to understanding the foundations of QCA and practically conducting a QCA study are pursued throughout the course. However, week 1 focuses more on the general analytic foundations, and weeks 2 to 5 are more about the practical aspects of a QCA study. • The activities of the course include watching the videos, consulting supplementary material where necessary, and doing assignments. The activities should be done in that order: first watch the videos; then consult supplementary material (if desired) for more details and examples; then do the assignments. • There are 10 assignments. Appendix A in the course guide states the estimated time needed to make the assignments and how the assignments are graded. Only assignments 1 to 6 and 8 are mandatory. These 7 mandatory assignments must be completed successfully to pass the course. • Making the assignments successfully is one condition for receiving a course certificate. Further information about receiving a course certificate can be found here: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate About the supplementary material • The course can be followed by watching the videos. It is not absolutely necessary yet recommended to study the supplementary reading material (as mentioned in the course guide) for further details and examples. Further, because some of the covered topics are quite technical (particularly topics in weeks 3 and 4 of the course), we provide several worked examples that supplement the videos by offering more specific illustrations and explanation. These worked examples can be found under Resources in the main menu. • Note that the supplementary readings are mostly not freely available. Books have to be bought or might be available in a university library; journal publications have to be ordered online or are accessible via a university license. • The textbook by Schneider and Wagemann (2012) functions as the primary reference for further information on the topics that are covered in the MOOC. Appendix A in the course guide mentions which chapters in that book can be consulted for which week of the course. • The publication by Schneider and Wagemann (2012) is comprehensive and detailed, and covers almost all topics discussed in the MOOC. However, for further study, appendix A in the course guide also mentions some additional supplementary literature. • Please find the full list of references for all citations (mentioned in this course guide, in the MOOC, and in the assignments) in appendix B of the course guide.

Status: Data Analysis Software
Status: Report Writing
BeginnerCourse27 hours

Featured reviews

HR

5.0Reviewed May 16, 2021

This course was very helpful in enhancing my understanding of QCA.

NB

5.0Reviewed Jul 12, 2020

Very help to get basic understanding of all main steps involved in data analysis.

EC

5.0Reviewed Jan 1, 2021

Very well organized content. Great supporting material! Suitable for complete beginners in QCA. Challenging but interesting assignments.

RV

5.0Reviewed Dec 10, 2020

Excelente curso, explica la teoría necesaria para entender el QCA, ejemplos sobre uso del mismo y aplicación en ejercicios prácticos.

YB

5.0Reviewed Dec 15, 2021

A great introduction to QCA that gets us starting with this method. Thank you!

AC

5.0Reviewed Jul 18, 2021

Highly recommend for researchers venturing into the area of QCA. Very simple and easy to understand. Thank you so much.

MT

5.0Reviewed Jan 14, 2021

Very comprehensive learning process and clear instructions. Examples provided are also very helpful for the whole course.

JG

5.0Reviewed Jul 25, 2019

Nice introductory course. Good pacing, highlights are being discussed, easy to follow.

DB

5.0Reviewed May 22, 2020

Very good course but more exercises using software should be incorporated. Software functions should be discussed in detail.

JL

5.0Reviewed Aug 17, 2020

An excellent course. The instructor was very clear in his explanation.

VK

5.0Reviewed Apr 29, 2020

Very understanding and very easily explained hard stuff. Very great word!!! thanks!!!

KD

5.0Reviewed May 10, 2020

Excellent course and perfectly pitched at the right level (not to easy, not too hard)

All reviews

Showing: 20 of 48

Stephan Manning
5.0
Reviewed Nov 25, 2020
DEVESH BAID
5.0
Reviewed May 23, 2020
Aritra Halder
5.0
Reviewed Jun 20, 2020
Kiri Dicker
5.0
Reviewed May 10, 2020
Kellan Nguyen
5.0
Reviewed Dec 3, 2019
Sandeep Khattri
5.0
Reviewed May 7, 2023
Mario Armando Vázquez Soriano
5.0
Reviewed Mar 30, 2021
Geoffrey Schwarz
5.0
Reviewed Jan 1, 2021
Evelyn C
5.0
Reviewed Jan 2, 2021
Rosa María Ventura Vásquez
5.0
Reviewed Dec 11, 2020
amber chen
5.0
Reviewed Jul 19, 2021
MIRZA FATHIARIZKI T
5.0
Reviewed Jan 15, 2021
Esther Berenice Flores Ayllón
5.0
Reviewed Oct 21, 2021
Robert Donnelly
5.0
Reviewed Feb 22, 2023
Volodymyr Koziupa
5.0
Reviewed Apr 30, 2020
Nimra Batool
5.0
Reviewed Jul 13, 2020
Yamuna S. B.
5.0
Reviewed Dec 16, 2021
Joseph Lobo
5.0
Reviewed Aug 18, 2020
Hania Rahma
5.0
Reviewed May 17, 2021
Monu Survashe
5.0
Reviewed Jun 23, 2020