Erasmus University Rotterdam
Necessary Condition Analysis (NCA)
Erasmus University Rotterdam

Necessary Condition Analysis (NCA)

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Jon Bokrantz
Chloé Schwizgebel
Wilfred Knol

Instructors: Jon Bokrantz

4.9

(24 reviews)

Beginner level
No prior experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

23 quizzes

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There are 5 modules in this course

Professor Jan Dul, founder of NCA, welcomes you and starts off with a quick introduction of necessity logic and Necessary Condition Analysis (NCA). The first week will explain necessity logic, why it is important and how it is different from other sorts of logic such as Boolean and additive logic. Furthermore, the basics of NCA and its benefits are explained. We invite you to go through the videos and readings to improve your understanding of necessity logic and NCA.

What's included

7 videos3 readings6 quizzes

In week 2 you will be guided through the process of setting up an NCA study. First, you will deep dive into the formulation of necessary condition hypotheses that can be analyzed with NCA. Next, general research practices of sampling and measurement will be discussed. After this week you will be able to start conducting research with NCA.

What's included

4 videos3 readings4 quizzes

In this module, you will examine how an NCA is ran in R, a programming language for statistical computing and graphics. Key elements will be explained such as the identification of the empty spaces in scatter plots. Once you can run an NCA in R, it is important to be able to interpret the results of the analysis, such as the effect size and the p-value. This week will also provide you an opportunity to practice with NCA.

What's included

9 videos5 readings5 quizzes

After finishing the first three weeks of this MOOC, you are now able to conduct an NCA. Crucial to every research method is getting across the message of your research. This module will therefore explain how you can convincingly report the results of your NCA study and reflect on the strengths and the weaknesses of the method.

What's included

3 videos2 readings3 quizzes

In this final week of the NCA MOOC, you will be challenged with the more advanced topics. The short videos will cover topics like analyzing other corners in the scatter plot, analyzing outliers approach, how to conduct NCA in small N cases study or qualitative research and how is NCA different from QCA. After finishing this week you will have a more enhanced understanding of the analysis and moreover, will be able to start on your own NCA research!

What's included

6 videos4 readings5 quizzes

Instructors

Instructor ratings
4.8 (15 ratings)
Jon Bokrantz
Erasmus University Rotterdam
1 Course1,221 learners
Chloé Schwizgebel
Erasmus University Rotterdam
1 Course1,221 learners

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4.9

24 reviews

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