Bayesian methods to infer model dimensionality in factor analysis generally assume a lower triangular structure for the factor loadings matrix. Consequently, the ordering of the outcomes influences the results. Therefore, we propose a method to infer model dimensionality without imposing any prior restriction on the loadings matrix. Our approach…

Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current…

Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM approximates the data matrix using a model generated by the hypothetical model and addresses limitations faced by conventional SEM procedures by…

Context is considered to greatly impact student engagement. However, little is known about the association between students' situational engagement in a particular lesson and their overall engagement with school and learning over time. The current study aims to validate the InSitu measure of situational engagement in a Norwegian context and to…

The Wechsler Intelligence Scale for Children's (WISC) factorial\theoretical structure has undergone numerous substantive changes since it was first developed, and each of these changes has subsequently been questioned by assessment experts. Given remaining questions about the structure of the latest revision, the WISC-V, the present study used…

Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…

In this exploratory study, we adapted items from a previously developed measure of job satisfaction, the Measure of Job Satisfaction (MJS), an instrument first developed for use with community nurses in the UK, to create a brief, 15-item instrument (Job Satisfaction--Brief) applicable to practitioners of school psychology from Pennsylvania (N =…

Objective: The study sought to test whether well-being predicts academic performance for student service members/veterans (SSM/Vs) and to assess the factor structure of the PERMA + 4 measurement scale for use in this student population. Participants: Post-9/11 SSM/Vs (N = 199) from seven colleges and universities in the U.S. completed an online…

Assessment literacy is currently gaining attention because of its relevance to teachers' instructional practices and students' performance. Previous studies showed that Filipino teachers have low to mid-level assessment literacy. Therefore, it is crucial to determine how teachers view their assessment literacy. This study aimed to develop and…

Objectives: Work performance is a critical aspect of daily living, significantly impacted by the characteristics of ADHD. However, current research lacks sophisticated, theoretically, and empirically supported instruments for assessing work performance in this context. Therefore, this study aimed to develop a comprehensive and psychometrically…

In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be…

Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…

Executive function (EF) is frequently an area of vulnerability in conditions associated with intellectual disability, like Down syndrome (DS). However, current EF evaluation approaches are not designed for children with underlying neurodevelopmental conditions and may not demonstrate construct validity due to interpretational confounds. The…

In this longitudinal study, we investigated the factor structure and stability of early-life temperament in a German sample, using three measures developed within Rothbart's psychobiological approach. Temperament was measured using the Infant Behavior Questionnaire Revised (IBQ-R) at the ages of 6 and 12 months, the Early Childhood Behavior…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…