返回到 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.

状态:Research Methodologies
状态:Social Sciences
初级课程小时

精选评论

MT

5.0评论日期:Jan 14, 2021

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

HR

5.0评论日期:May 16, 2021

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

NB

5.0评论日期:Jul 12, 2020

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

RV

5.0评论日期:Dec 10, 2020

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

RD

5.0评论日期:Feb 22, 2023

This was a great class. Really well-presented with lots of interesting and practical examples.

EC

5.0评论日期:Jan 1, 2021

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

YB

5.0评论日期:Dec 15, 2021

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

MM

4.0评论日期:Apr 28, 2020

Great course. The videos are short but insightful. We receive access to an extensive list of readings and resources. Finally, I enjoyed the assignments very much. Thank you!

DB

5.0评论日期:May 22, 2020

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

KD

5.0评论日期:May 10, 2020

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

GS

5.0评论日期:Dec 31, 2020

This course was a very good introduction. Professor Hirzalla explains QCA very clearly, slowly, and thoroughly. I wish there was a second part to this course.

SM

5.0评论日期:Nov 24, 2020

Fantastic course. Very engaging. Great videos. Easy to follow. Exercises are not too easy, not too hard. Can definitely recommend it!

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Stephan Manning
5.0
评论日期:Nov 25, 2020
DEVESH BAID
5.0
评论日期:May 23, 2020
Aritra Halder
5.0
评论日期:Jun 20, 2020
Kiri Dicker
5.0
评论日期:May 10, 2020
Kellan Nguyen
5.0
评论日期:Dec 3, 2019
Sandeep Khattri
5.0
评论日期:May 7, 2023
Mario Armando Vázquez Soriano
5.0
评论日期:Mar 30, 2021
Geoffrey Schwarz
5.0
评论日期:Jan 1, 2021
Evelyn C
5.0
评论日期:Jan 2, 2021
Rosa María Ventura Vásquez
5.0
评论日期:Dec 11, 2020
amber chen
5.0
评论日期:Jul 19, 2021
MIRZA FATHIARIZKI T
5.0
评论日期:Jan 14, 2021
Esther Berenice Flores Ayllón
5.0
评论日期:Oct 21, 2021
Robert Donnelly
5.0
评论日期:Feb 22, 2023
Volodymyr Koziupa
5.0
评论日期:Apr 30, 2020
Nimra Batool
5.0
评论日期:Jul 13, 2020
Yamuna S. B.
5.0
评论日期:Dec 16, 2021
Joseph Lobo
5.0
评论日期:Aug 18, 2020
Hania Rahma
5.0
评论日期:May 17, 2021
Monu Survashe
5.0
评论日期:Jun 22, 2020