Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…

Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…

Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

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.…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Background/purpose: The purposes of this research are to develop a reliable and valid assessment tool for measuring systems thinking skills in upper primary students in Thailand and to establish a normative criterion for evaluating their systems thinking abilities based on educational standards. Materials/methods: The study followed a three-phase…

In this study, we take a critical look at the degree to which the measurement of bullying and sense of belonging at school is invariant across groups of students defined by immigrant status. Our study focuses on the invariance of these constructs as measured on a recent PISA administration and includes a discussion of two statistical methods for…

Pedagogical content knowledge (PCK) is important for teachers' instructional effectiveness. This study investigated the self-reported level of PCK among in-service elementary school science teachers in a municipality in Ghana, examining the overall level of PCK. An In-Service Elementary Science Teachers Self-Reported PCK (IEST-SR-PCK) scale was…

ECEC settings are children's first contact with early education, and ECEC teachers are expected to encourage and support children's early literacy development. This study aims to pilot test the self-assessment tool Social Language Environment -- Domain, (SLE-D), in order to gain more knowledge about teachers' strategies when teaching literacy.…

Social skills are dynamic developmental constructs typically measured using assessments developed via cross-sectional methods. The measurement model of derivatives (MMOD), a factor analytic approach targeting individual growth trajectories, was used to evaluate the longitudinal factor structure of the Social Skills Improvement System--Rating…

This article explores the development and evaluation of the Building Leadership Team Assessment Tool (BLT-AT), designed to measure Professional Learning Communities' (PLCs') use of effective school improvement practices. The BLT-AT is grounded in Ohio's inclusive instructional leadership model, which emphasizes the improvement of teaching and…