Evaluation of Multiple Imputation in Mean and Variance Adjusted Weighted Least Square Estimation to Test Measurement Invariance

This paper uses Monte Carlo simulations to examine the application of multiple imputation with mean and variance adjusted weighted least square estimation in factorial invariance test with ordinal items. We will investigate the performance of likelihood ratio test and global fit indices (RMSEA, TLI, CFI) with different pooling procedures.