Emile Durkheim, one of the founders of modern empirical social science, once stated that the comparative method is the only one that suits the social sciences. But Descartes already had reminded us that “comparaison n’est pas raison”, which means that comparison is not reason (or theory) by itself.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Skills you'll gain
Details to know
Add to your LinkedIn profile
10 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
This module presents fundamental notions of comparative research designs. To begin with, you will be introduced to multi-dimensional matters. Subsequently, you will delve into John Stuart Mill’s methods and limitations.
What's included
6 videos10 readings2 assignments
This module presents further advances in comparative research designs. To begin with, you will be introduced to case selection and types of research designs. Subsequently, you will delve into most similar and most different designs (MSDO/MDSO) and observe their operationalization.
What's included
6 videos6 readings2 assignments
This module presents Boolean Algebra and the main steps of QCA. The first lesson will introduce basic features of QCA and provide an example of such analysis. The second lesson will focus on QCA applications, troubleshooting, Multi-Value QCA (mv-QCA), and more specific features of QCA.
What's included
6 videos7 readings2 assignments
This module presents the basic features of the fuzzy set analyses and application, and analyzes in greater depth QCA. The first lesson will introduce basic features of fuzzy set analyses and provide examples of such analysis. The second lesson will focus on fuzzy set applications, its purposes and advantages, and explores more specific features of QCA.
What's included
6 videos7 readings2 assignments
This module presents the macro-quantitative (statistical) methods by giving examples of recent research employing them. It analyzes the regression analysis and the various ways of analyzing data. Moreover, it concludes the course and opens to further perspectives on comparative research designs and methods.
What's included
6 videos6 readings2 assignments
Instructor
Offered by
Recommended if you're interested in Governance and Society
Universidad Nacional Autónoma de México
Universitat Autònoma de Barcelona
Universidad de Palermo
University of California, Irvine
Why people choose Coursera for their career
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.