Factor Structure Invariance of the Kaufman Adolescent and Adult Intelligence Test Across Male and Female Samples

Abstract

Multisample confirmatory factor analysis (MCFA) and latent mean structures analysis (LMS) were used to test measurement invariance and latent mean differences on the Kaufman Adolescent and Adult Intelligence Scale™ (KAIT) across males and females in the standardization sample. MCFA found that the parameters of the KAIT two-factor model were invariant across groups. A follow-up LMS found intercept differences on the Memory for Block Designs, Famous Faces, Auditory Comprehension, and Logical Steps subtests, indicating low to moderately higher expected scores for males. Thus, latent means were not tested for invariance. Although the KAIT two-factor model met partial measurement invariance, it did not demonstrate strong factorial invariance. Implications for test score interpretation are discussed.