[Feature Request]: add robust and t-size fits indices for CFA #2885
Description
Description
Improved analysis reporting
Purpose
No response
Use-case
No response
Is your feature request related to a problem?
No response
Is your feature request related to a JASP module?
Factor
Describe the solution you would like
Implement the suggested improved fit measures ( robust RMSEA & CFI as well as mean-and-variance corrected chi-square and t-size measures)
Describe alternatives that you have considered
No response
Additional context
Current guidelines suggest that robust fit indices should be considered for inclusion in JASP as part of confirmatory factor analysis
Rogers, P. (2024). Best practices for your confirmatory factor analysis: A JASP and lavaan tutorial. Behavior Research Methods, 1-21.
This above article also suggests other missing features that unfortunately I do not quite understand but may regardless be worth you looking at.
Robust fit indices
Brosseau-Liard, P. E., & Savalei, V. (2014). Adjusting relative fit indices for nonnormality. Multivariate Behavioral Research, 49, 460–470. doi:10.1080/00273171.2014.933697
Brosseau-Liard, P., Savalei, V., & Li, L. (2012). An investigation of the sample performance of two non-normality corrections for RMSEA. Multivariate Behavioral Research, 47, 904–930.
Savalei, V. (2018). On the Computation of the RMSEA and CFI from the Mean-And-Variance Corrected Test Statistic with Nonnormal Data in SEM. Multivariate Behavioral Research, 53(3), 419–429. https://doi.org/10.1080/00273171.2018.1455142
As well as the T -sized indices you have already added elsewhere