NCA is not just a method of data analysis, it is another way of thinking about the relationships between variables (assuming that most of us are used to regression or modeling of structural equations – sufficiency logic).

I recommend this course to all those interested in understanding and researching necessary conditions (critical success factors).

The course contains videos, examples, and suggestions for readings that will make life easier for those who are new to this method and update the knowledge of those who have already read the 2020 book (*)

I really enjoyed it and recommend it.

(*)

Dul, J. (2020) Conducting Necessary Condition Analysis. Mastering Business Research Methods Series, London: Sage Publications

Intuitive emergent methodology, clearly explained in these MOOCs. The flow and content of the weeks, with the practice questions ensured a good knowledge on what NCA is, how to use it, and how to interpret it. The "pitfalls" or common misunderstandings helped me be cautious of not making the wrong assumptions when evaluating the results.

A very helpful course on NCA for doctoral candidates. The quiz and assignments are thought provoking. The instructors are very approachable via LinkedIn DMs. Overall, I highly recommend this course to early career researchers and PhD candidates who are exploring ways to formulate robust hypothetical constructs.

It was very knowledgeable and informative course. More importantly, the assessment and study materials are boon to learners

As a researcher, I found the logic of NCA so exciting and at the same time, the course design was perfect.

NCA is a good tool for identifying the necessary conditions to enable an outcome.

Excellent- Suggestion- If the course can include likert scale data as examples?

Great course with a lot of useful information!

Exams of week 4 and 5 require knowledge beyond the taught content.