Investigating the Applicability of Alignment-A Monte Carlo Simulation Study.

ABSTRACT: Traditional multiple-group confirmatory factor analysis (multiple-group CFA) is usually criticized for having too restrictive model assumption, namely the scalar measurement invariance. The new multiple-group analysis methodology, alignment, has become an effective alternative. The alignment evaluates measurement invariance and more importantly, permits factor mean comparisons without requiring scalar invariance which is usually required in traditional multiple-group CFA. Some simulation studies and empirical studies have investigated the applicability of alignment under different conditions, but some areas remain unexplored. Based on the simulation studies of Asparouhov and Muthén and of Flake and McCoach, this current simulation study is broken into two sections. The first study investig

SUBMITTER: Wen C 

PROVIDER: S-EPMC9263979 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature