Qualitative Comparative Analysis (QCA)
Learn to conduct systematic comparisons in social sciences using QCA. Explore set theory and complex causality.
Learn to conduct systematic comparisons in social sciences using QCA. Explore set theory and complex causality.
This course introduces Qualitative Comparative Analysis (QCA), a comparative method used in social sciences for assessing cause-effect relations. It covers the methodological foundations and practical applications of QCA, suitable for both qualitative and quantitative researchers. Students will learn to conduct a basic QCA study, understanding its use in analyzing small to medium-sized samples (10-100 cases) across macro, meso, and micro levels. The course progresses from analytic foundations to practical aspects, including research design, calibration, truth table analysis, logical minimization, and result interpretation. Participants will gain hands-on experience with fsQCA software and learn to report QCA results scientifically.
4.8
(144 ratings)
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What you'll learn
Understand the methodological foundations and analytic principles of QCA
Develop skills to design and conduct a basic QCA study
Learn to calibrate data and construct truth tables for QCA analysis
Master the process of logical minimization in QCA
Gain practical experience using fsQCA software for data analysis
Interpret QCA results and understand their implications for causality
Skills you'll gain
This course includes:
2 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to Qualitative Comparative Analysis (QCA), a method used in social sciences for systematic comparison and assessment of cause-effect relations. The curriculum covers both the theoretical foundations and practical applications of QCA, making it suitable for researchers from qualitative and quantitative backgrounds. Students will learn about the QCA research process, set theory, complex causality, research design, calibration techniques, truth table analysis, logical minimization, and result interpretation. The course also includes practical training in using fsQCA software for analysis. Through a combination of video lectures, assignments, and hands-on exercises, participants will develop the skills to conduct their own QCA studies, applicable to various levels of analysis from micro to macro scales.
Introduction, analytic foundations and the QCA research process
Module 1 · 15 Hours to complete
Research design and calibration
Module 2 · 2 Hours to complete
The truth table
Module 3 · 2 Hours to complete
Logical minimization and the interpretation of output
Module 4 · 1 Hours to complete
Using FsQCA, more about the interpretation of output, and the write-up
Module 5 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Assistant Professor / Senior Lecturer
Fadi earned his PhD in 2010 with a comparative study on young people’s civic uses of the internet. With expertise in both quantitative and qualitative research methodologies, he has a strong academic foundation in political science and communication research.
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4.8 course rating
144 ratings
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