Testing the Assumptions of Growth Model
Hi,
First of all thanks a lot for providing us with the computer program JASP to analyze our data set with respect to the growth curve model.
We prepared a manuscript for testing the change of students' ratings over four consequtive semesters.
The data gave acceptable fit to the linear model. We submitted the manuscript to a journal for publication.
One of the reviewers asked us including the effect size values for the model and the test of the asumptions of the growth curve analysis, such as normality, and homoscedasticity.
Would you please help us if these tests including the effect size are available in JASP. If so, we need to know how to carry out the analysis. If there is no option to have these anlyses in JASP we will appreciate if you provide references tocarry out aforementioned analyses.
Thanks a lot for your cooperation.
Giray Berberoglu
Comments
Thanks Giray, I'm looking in to who can best help you. The best check imo is to explore possible structure in the residuals. But I'll take a look.
EJ
OK, so a lot of suggestions are here: https://jasp-stats.org/2022/02/22/latent-growth-curve-modeling-lgcm-in-jasp/
Effect sizes should be evident from the parameter estimates and R^2 stats it seems to be. Model fit I would assess visually (by plotting the data vs the model prediction) but if you like you could issue a GitHub request to add the assumption tests you mention. (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/)
EJ