jamovi

Thanks reason180, I appreciate your argument, but still think there is often a marginality issue.

Since you have a strong interaction, then the main effects (specially for sex) could be marginal (secondary) to the interaction. This is known as the principle of marginality. In your example you may not be able to claim that women in general perform better than men, only those women who walk!

Saudi Arabia

I regularly get this for a jamovi window that I leave unattended for maybe half an hour or more.

I would say that it should be allowed.
In the meantime you can change the measure type of your data to continuous (even though it is ordinal) and then the dialog box will accept it.

Hello Amy
It works when you remove the Collinearity statistics option. With it on, I get the error:
One or more coefficients in model '1' could not be estimated due to perfect collinearity.

You could use the likelihood ratio test (LRT), also available under Tests for contingency tables. This will give you both a chi-square and p value. The LRT is not subject to the restriction that expected values should not be < 5. Theoretically, it is also the preferred test https://www.preprints.org...

I find it is quite random as to whether the LOCK file is produced.
So I just always run the two commands:

p_unlock(lib.loc = "C:/Users/.../build/R4.1.2-win64")
jmvtools::install()

whether or not it is found, the install goes ahead

Thanks Jonathon, that's helpful, will work on it

Peter

Mistakenly posted the wrong error. This is what I get with the code Jonathon suggests (except using anovaOneW): ! Undefined control sequence. l.17 \n ONE-WAY ANOVA\n\n One-Way ANOVA (Fisher\'s) ... Error: LaTeX failed to compile test1.tex. See https://yihui.org/tinytex/r/#debugging for debugging tip...