Introduce a first question in the Learn Stats -> Statistical Test Decision Tree: "Are you testing a difference between groups, or an association between variables?"
Describe alternatives that you have considered
None
Additional context
An analysis starts with a question. The decision tree now presents the the analyses one can do given the nature of the data, but I think it is educational to present the analyses that help answer the research question. In NHST the most common two types of questions are "is there a difference (between groups)" and "is there an association (between variables)"?
Taking this approach you can also include analyses such as "looking for patterns" and direct the user to the Factor module with PCA, EDA, etc.
(BTW: thanks for the Learn Stats module! I already alerted my 1st Biology students! And, on behalf of my students as well, thanks for internal editing!)
tomtomme
commented
8 months ago
Description
Research question in decision tree
Purpose
No response
Use-case
No response
Is your feature request related to a problem?
Feature request Learn Stats module
Is your feature request related to a JASP module?
Other
Describe the solution you would like
Introduce a first question in the Learn Stats -> Statistical Test Decision Tree: "Are you testing a difference between groups, or an association between variables?"
Describe alternatives that you have considered
None
Additional context
An analysis starts with a question. The decision tree now presents the the analyses one can do given the nature of the data, but I think it is educational to present the analyses that help answer the research question. In NHST the most common two types of questions are "is there a difference (between groups)" and "is there an association (between variables)"?
Taking this approach you can also include analyses such as "looking for patterns" and direct the user to the Factor module with PCA, EDA, etc.
(BTW: thanks for the Learn Stats module! I already alerted my 1st Biology students! And, on behalf of my students as well, thanks for internal editing!)
Peter Klaren