Investigating Goodness-of-Fit Indices to Detect Measurement Invariance in a Second-Order Factor Model

• In Event: Roundtable Session 8
  In Roundtable Session: Measurement Invariance in Structural Equation Modeling

Abstract

A Monte Carlo simulation study was conducted to evaluate the sensitivities of commonly used goodness-of-fit (GOF) indices and the Likelihood Ratio test to detect the measurement invariance properties of a higher-order CFA model. The analyses will be conducted using two groups and five latent factors.

Authors

• Jam Khojasteh, Oklahoma State University - Tulsa

• Wen-Juo Lo, University of Arkansas

• Sean W. Mulvenon, University of Arkansas