Unscripted E9: Moderated Nonlinear Factor Analysis
In Episode 9 of Unscripted, Patrick and Dan discuss moderated nonlinear factor analysis (also known as the world's worst acronym: MNLFA). In Episode 7 they explored methods for estimating models across two or more observed groups (e.g., biological sex, race) and in Episode 8 they extended this to groups that were unobserved (or latent; e.g., treatment responders vs. non-responders). However, both of these approaches rely on testing moderation across levels of a single grouping variable (whether observed or latent). Neither allows for inclusion of continuous moderators (e.g., age, years of education) or the possibility of modeling multiple moderators simultaneously (that might themselves interact). In contrast, MNLFA builds upon the structural equation model to permit moderation of the model parameters across a set of observed variables, continuous or categorical. MNLFA thus allows for testing a variety of hypotheses about individual differences that would not otherwise be possible.
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