Qualitative comparative analysis (QCA)

Introduction

Need to analyse cause-effect relations across multiple cases and not sure how? Qualitative Comparative Analysis (QCA) offers a systematic, transparent, and innovative solution. This method is relevant for both quantitatively and qualitatively oriented researchers.

QCA, introduced by Charles Ragin in the 1980s and developed further since, is gaining prominence in various social sciences, including political science, economics and business, management, pedagogical sciences, health sciences, sociology, and environmental sciences.

Before enrolling, please inform yourself about the aims and setup of the course and the applicability of QCA as described below. Please note that this method cannot be used for the study of one or just a few cases.
 

Course information

ECTS: 2.5 
Number of sessions: 4
Hours per session: 4

Application

• 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. The less than 10 cases you have, the less function and added value QCA potentially has. QCA cannot be applied at all if you study just one case.

Please note that you will need a laptop in all 4 sessions to make notes and assignments.

A syllabus will be provided at the beginning of the course with more details about the course contents and structure.