A General Approach to Modeling Latent Variable Interactions and Nonlinear Effects

Abstract excerpt

<p>Interaction effects are prevalent in the behavioral sciences, particularly in psychology, where they are used to investigate the influences on human behavior by various factors. Methodological advancements have been made to model interaction effects in latent variable models. Traditional approaches like product indicator methods have limitations such as complexity, lack of parsimony, and applicability only to c...

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• Age Factors
• Genetics, Population
• Genome, Human
• Models, Genetic
• Multivariate Analysis
• Polymorphism, Single Nucleotide
• Smoking
• Software

Identifiers and source

Literature Corpus work

1a5c2963-7efa-5e63-9f22-99e9853d3fad

DOI

10.31234/osf.io/w3bxh