When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…

The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…

Despite several psychometric advantages over the 50-item Autism Spectrum Quotient, an instrument used to measure autistic traits, the abridged AQ-28 and its cross-cultural validity have not been examined as extensively. Therefore, this study aimed to examine the factor structure and measurement invariance of the AQ-28 in 818 Dutch (M[subscript…

A fundamental premise in assessment is that the underlying construct is equivalent across different groups of students and that this structure does not vary over years. The pandemic has potentially impacted opportunity to learn and disrupted the internal structure of assessments in various ways. Past research has suggested that students tended to…

This study examined the factor structure of the listening and reading sections of the revised Test of English for International Communication (TOEIC[R]) test. The data from the TOEIC IP (institutional program) test taken by 569 English learners were randomly split into two samples (n = 285 vs. 284). Four models (higher-order, correlated,…

Factorial invariance of the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) when administered to deaf children who use sign language was studied with 110 children and the WISC-III standardization sample of 2,200 children. Path coefficients, error variances, and factor covariances were not invariant, indicating that test…

Because it is difficult to ascertain the dimensionality of a test composed of binary items through the use of factor analysis alone, a method is proposed that combines item characteristic curve (ICC) theory with factor analysis. Factor structure of tetrachoric correlations is distorted by non-normal distribution of ability. Item characteristics…

We are concerned with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. This hypothesis is equivalent to saying, within the adopted model, that true scores of two psychological tests satisfy a linear relation. A statistical test of this hypothesis is derived…

This study examined whether item overlap, or measurement confounding, accounts for the correlation between temperament and behavior problem symptoms in children. Experts rated items on Children's Behavior Questionnaire and Preschool Behavior Questionnaire for their fit to both constructs, and then these items were factor analyzed with longitudinal…