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Qualitative Comparative Analysis (QCA) complements traditional quantitative analysis, allowing for the analysis of causal configurations, in other words, to determine which groups of factors originate or explain a specific phenomenon.  The solution to the problem should not necessarily be unique. This characteristic of need but not sufficiency means that the QCA is an attractive methodology since it is innovative in nature.

Based on logical techniques such as Boolean algebra, truth tables and methods of logical minimisation, QCA is a particularly attractive methodology in cases in which relationships between constructs are complicated.  Although multiple regression analysis is efficient in terms of the identification of symmetrical relationships between constructs, relationships are not always symmetrical.  In contrast, in the field of social sciences these relationships tend to be complicated, which means they require alternative analytical methods. The advantage of QCA is that it can be used with both large and small samples.

In recent years this methodology has gained followers and today is presented as a mixed method which helps the phenomenon being studied to be understood better, taking into account all its dimensions and complexity.

This course is aimed at researchers and doctoral students from the field of social sciences.  The aim is to familiarise participants with basic QCA concepts. The software that will be used is STATA and fs/QCA.

Timetable: Between 10am and 2pm.
Location: B 501 Barcelona campus
Price: Free
Organised by: Faculty of Economic and Social Sciences
Taught by: Dr Jasmina Berbegal Mirabent