[Feature Request]: extension of mixed models

[HildeHui]

Description

extensions of frequentist mixed models

Purpose

No response

Use-case

A few extensions may be helpful as they will offer the possibility to perform common analyses

Is your feature request related to a problem?

see "Describe the solution you would like"

Is your feature request related to a JASP module?

Mixed Models

Describe the solution you would like

1. Tests of random effects, this can be done via anova() ? 2) Extension to repeated measures within participants (“growth models”). These are very often used in longitudinal research. This requires not only specification of covariance structure of random intercepts and slopes, but also of the errors. Structures like AR(1) and sphericity will be handy. See for example mixed models in SPSS 3) It seems like JASP is oriented towards nominal independent variables, would be nice to make everything, e.g. text below tables and plotting possibilities, also tailored to continuous IV’s.

Describe alternatives that you have considered

see "Describe the solution you would like"

Additional context

These feature requests relate to the UvA course "evidence based clinical practice": research methods.
Please let us know if further information is required.
Lucas & Hilde

[TarandeepKang]

Hi @FBartos, It seems this request is mostly about growth model related extensions to LMMs? If so, these have been requested before in #2032 and #3566. I do think they would be great (and widely used) additions to JASP.

Thanks for all your work!

Best,

Tarandeep