Closed wpsilvestre closed 4 months ago
Is this what you mean? https://github.com/jasp-stats/jasp-issues/issues/637 https://github.com/jasp-stats/jaspAnova/pull/343
Then this will be available around May / June in 0.19
@tomtomme , I'm not sure if this is what I mean. Anyway, when the latest Jasp version (0.19) is released, I'll test it and, if it is not what I mean, I can reopen this topic.
Closing for now because I do think it's implemented now - please reopen if not!
Description
Presenting the results in post hoc tests for n-factorial ANOVA fixing one of the factors and showing the statistical difference among the levels of the other factor
Purpose
Easing the analysis of n-factorial design with post hoc tests in ANOVA
Use-case
This feature would benefit any user that works with Jasp
Is your feature request related to a problem?
No
Is your feature request related to a JASP module?
ANOVA
Describe the solution you would like
Although the ANOVA has the feature of marginal means with the 95 % confidence interval, this is not very intuitive for novice or occasional users. In addition, in the present form, it is difficult to understand the contrasts since all comparisons are shown together
Describe alternatives that you have considered
The marginal means plot may help, but for factors with more levels the interpretation of the graph may become difficult.
Additional context
Some softwares, when assessing factorial design using ANOVA, and conducting post hoc tests, decompose the interaction in tables, by fixing one of the factors, and presenting the differences among the levels of the other. This is important to build an interaction table, showing the means ad using letters in column and row to indicate statistical differences among levels and factors.
@JohnnyDoorn , I have added a statistical report of such a software that bring this unfolded interaction information for your assessment: Factorial design with 2 Factors.pdf
I don't know if this is feasible, but I believe it would be great for Jasp users, especially when interaction tables are needed to explain the data along with graphs and other features. Thank you for your attention.