andersony3k

I don't know the answer to your question, but apparent inconsistencies like the one you're seeing lead me to adopt a general practice trusting simpler Bayesian analyses (e.g., t tests) more than complex ones (e.g., ANOVAs).

in Different results Bayesian vs Classical RM ANOVA Comment by andersony3k July 2023

Hi. "Two-way interaction" means the same thing as "1st order interaction" (though I believe the former term is more commonly used). "Three-way interaction" means the am thing as "second order interaction." I…

in From first order interaction to second order interaction? Comment by andersony3k July 2023

I think your use of the term "hierarchical" has a completely different meaning than "hierarchical data" in statistics. An example of hierarchical data would be if age group could be young or old in the 40-40 condition but was re…

in From first order interaction to second order interaction? Comment by andersony3k July 2023

Hi. It's still ambiguous whether you have Gender factor (male; female) or a Gender Correspondence factor (different; same). I'll assume the latter. Likewise, it's not clear whether your talking about an Age Category factor (young; old) or an Age Cat…

in From first order interaction to second order interaction? Comment by andersony3k July 2023

I agree with pchs0114 except that if there are really only two individuals, it's not worth doing any kind of statistical test. Two is not enough to be convincing.

in Don’t Know how using on excel and choose the good test Comment by andersony3k July 2023

Actually, I don't think I sufficiently comprehend what your research design is. (Maybe some diagrams would help, instead of trying to describe it all in words?) Relatedly, I think the graph you included, above, would be appropriate for a design in w…

in From first order interaction to second order interaction? Comment by andersony3k July 2023

That's surprising to hear, since a frequentist ANOVA sometimes gives substantially different results than mixed model, even with no Monte Carlo simulation. See the examples in this JASP file: https://falconbgsu-my.sharepoint.com/:u:/g/personal/rand…

in Feature request a bona fide repeated-measures ANOVA (not just a linear-mixed-effects substitute) Comment by andersony3k July 2023

I think there are complex approaches as well as relatively simple approaches. Personally, I would take a simple approach: Questions 1, 2, 3, and 4: (1) Is identification time different for short vs. long duration? (i.e., Is there a main effect of F…

in From first order interaction to second order interaction? Comment by andersony3k July 2023

OK then. How about just renaming it to: "Bayesian ANOVA-Like Repeated Measures"?

in Feature request a bona fide repeated-measures ANOVA (not just a linear-mixed-effects substitute) Comment by andersony3k July 2023

Hi Patc3. This is my mistake. I was mis-remembering slightly. It's the *Bayesian* "repeated-measures ANOVA" that's really a linear mixed-effects model: https://forum.cogsci.nl/discussion/8568/repeated-measures-anova-with-missing-values

in Feature request a bona fide repeated-measures ANOVA (not just a linear-mixed-effects substitute) Comment by andersony3k July 2023

Hi. Few things. First, this system has stopped notifying me of replies to my comments. More importantly, I see couple of things that could turn out to be major problems. I'm am only going to talk out the non-Bayesian analyses. (1) Generally, the inc…

in Incongruency - Main effects vs Post Hoc comparisons Comment by andersony3k July 2023

Probably, you would need to post your .jasp file to this thread.

in Incongruency - Main effects vs Post Hoc comparisons Comment by andersony3k July 2023

Hi. In your ANOVA, the effect of tone isn't non-significant. It's significant (p < .001). The posthoc test is also significant at p < .001. The F in your ANOVA is the square of the t in your t test. So the results agree exactly.

in Incongruency - Main effects vs Post Hoc comparisons Comment by andersony3k July 2023

Actually, I meant to indicate something like "sqrt(data[i,"len"]" within an i loop.

in Does the "R" method for creating computed variables use a kind of pseudo R coding? Comment by andersony3k June 2023

If you look carefully, you'll see that there are indeed confidence-interval error-bars around the Group 1 means. They're just very narrow intervals. My guess is that they're narrow compared to Group 2 because the sample size is much larger in Group …

in Confidence intervals in descriptive plots Comment by andersony3k June 2023

Regarding normality, a standard assumption-check is the Shapiro-Wilk test. While I'm not seeing that as an option in JASP's regression routines, you can find the test elsewhere, outside of JASP. You could put in a feature-request to have it included…

in Linear regression analyses: Assumptions of linearity and normally distributed residuals Comment by andersony3k May 2023

I can't remember the exact thread, but I was told that in JASP "repeated-measures" Bayesian ANOVA is not really repeated-measures ANOVA but is instead a linear mixed-effects model--EXCEPT that it excludes rows containing missing values, th…

in Repeated Measures ANOVA with missing values Comment by andersony3k May 2023

RE: "Chi-squared test or Fisher's exact test compute is the proportion of acceptance is different between A and B." It compares the proportion of acceptance between the Initial_A and the Initial_B if you setup your data file that way . .…

in Compare two proportions with a Bayesian analysis Comment by andersony3k May 2023

@Andy . I don't know what "confounding factors" and "generator" mean in this context. If this is referring to an analysis of variance, things should be set up as follows, with the goal being to assess main effects and interaction…

in How to use JASP for two-level factorial design in quality control module? Comment by andersony3k May 2023

You do it the same way as described here https://forum.cogsci.nl/discussion/8559/comparing-two-proportions-within-contingency-table-for-small-sample-size#latest except that you select Frequencies, Bayesian, Contingency Tables.

in Compare two proportions with a Bayesian analysis Comment by andersony3k May 2023

Each of those would be "the other side of a coin." Thus, the results, above, also describe "the comparison between A-refusing versus B-accepting." (You can rearrange the data to convince yourself that that's true.)