Model Selection and Model Complexity
Model Selection and Model Complexity
Carl F. Falk
Associate Professor of Quantitative Psychology
Publications
A comparison of latent variable and psychological network models in mental and physical health symptom data: Common output metrics and factor structure
Purpose Much research is still needed to compare traditional latent variable models such as confirmatory factor analysis (CFA) to …
Parsimony in Model Selection: Tools for Assessing Fit Propensity
Theories can be represented as statistical models for empirical testing. There is a vast literature on model selection and multimodel …
A Comparison of Limited-Information Test Statistics for a Response Style MIRT Model
An increased use of models for measuring response styles is apparent in recent years with the multidimensional nominal response model …
Model Selection for Monotonic Polynomial Item Response Models
One flexible approach for item response modeling involves use of a monotonic polynomial in place of the linear predictor for commonly …
On Lagrange Multiplier Tests in Multidimensional Item Response Theory: Information Matrices and Model Misspecification
Lagrange multiplier (LM) or score tests have seen renewed interest for the purpose of diagnosing misspecification in item response …
Model Specification Searches in Structural Equation Modeling with R
This article introduces and demonstrates the application of an R statistical programming environment code for conducting structural …