Empirical Investigation of Three Statistical Models to Test Measurement Invariance With Partially Nested Data

• In Event: Advances in Multilevel Modeling

Abstract

While assessing emotions, behaviors or performance of preschoolers and young children, scores from adults ratings are used rather scores from children themselves. Data from raters such as parents and teachers are often nested (i.e. students are within teachers and a child is within their parents). This study proposes multilevel repeated measure confirmatory factor analysis (CFA) to test measurement invariance (MI) for this type of data as well as investigate the adequacy of detecting measurement invariance of the proposed model in addition to multiple-group CFA and design-based multilevel CFA. Guidelines for applied researchers in using appropriate models in testing MI for partially nested data are also provided.

Authors

• Diep Thi Nguyen, University of South Florida

• Eunsook Kim, University of South Florida