I am not sure what you are looking for, but wouldnt be a linear mixed model aka. multilevel model be an option? You are calculating a "fixed" effect, which is the effect for all participants, as well as "random" effects (intercept and slopes) for each participant. It uses partial pooling, i.e. it preserves all data, allows individual deviations from the fixed effect (the random part) and calculated individual slopes.

MLM is useful for clustered data, as well as longitudinal data. It is flexible to calculte a slope or curve for the "time" variable, but also may treat "time" as single measures / factors, like in rmANOVA. Additionally, MLM is recommended over rmANOVA, since it makes less assumptions, may handle missing data (drop out), gives better inferential estimates, and the overall results are more robust and better to generalize due to the shrinkage effect of MLM.

Jamovi does have repeated measures anova.

However, the paper you link to isn't repeated measures anova. It's repeated measures correlation. If that's what you want, use the R package described in the paper. They do describe their method in that paper, and it's kind of a unique approach.

Hello ,

This technique used to measure the relationship between two continuous variables while accounting for non-independence by repeated measurements from the same individuals. It is particularly useful when multiple observations are collected from the same subjects over time or under different conditions.

(rmcorr) is available in both jamovi and JASP, making it easy to perform without coding.

In jamovi, rmcorr is available through the Rj Editor (for custom R scripts) or extensions.

In JASP, rmcorr is available as part of the Regression module.

Ruqaya Shaker Mahmood I have the lastest version of JASP, 0.19.3, but I cannot find the rmcorr Option. Could you please guide me, where to find it? Many thanks in advance!