Automated Moderated Nonlinear Factor Analysis Using 'Mplus'
Automated generation, running, and interpretation of moderated
nonlinear factor analysis models for obtaining scores from observed
variables, using the method described by Gottfredson and colleagues (2019) <10.1016>.
This package creates 'Mplus' input files which may be run iteratively
to test two different types of covariate effects on items:
(1) latent variable impact (both mean and variance); and (2) differential
item functioning. After sequentially testing for all effects, it also creates a final
model by including all significant effects after adjusting for multiple comparisons.
Finally, the package creates a scoring model which uses the final values of parameter
estimates to generate latent variable scores.10.1016>