ResearchPLSResearchPLS

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.