Recent work has shown that GIMME can reliably find the relations among latent variables – be they factor score estimates or PCA component scores.

The option to conduct factor analysis (using MIIV-2SLS via the MIIVsem package; Fisher, Bollen, Gates, & Rönkkö, 2017 ) is now available within GIMME.

Using lavaan (Rosseel, 2018) style syntax, users can indicate the measurement model structure for indicating how observed variables relate to latent factors. Factor scores are then generated using this model and gimme searches for the directed lagged and contemporaneous paths among these factors. Final estimates are obtained via MIIVsem.