Building & Running Models
Prediction & Model Assessment
Assessing a model beyond in-sample fit.
Beyond estimating a model, ResearchPLS supports comparing competing model specifications with in-sample information criteria (BIC and the Geweke-Meese criterion) to help choose between alternative structural specifications.
Sample Size & Power Analysis works alongside a fitted model: given the real sample size used, it reports the minimum effect size the study could realistically detect, checked against every already-estimated path coefficient.