In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…

Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…

Path models with observed composites based on multiple items (e.g., mean or sum score of the items) are commonly used to test interaction effects. Under this practice, researchers generally assume that the observed composites are measured without errors. In this study, we reviewed and evaluated two alternative methods within the structural…

It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to…

The research was designed to examine the effects of question setting using different conditions into 10 sets on the validity of structural equation modeling for factors affecting job morale. The data was collected from 690 personnel working in regional Statistical Offices around Thailand by using cluster random sampling. The tool used in…

The current study examines associations among parents' school readiness beliefs, home-based involvement, and measures of school readiness using data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (N = 13,999). A structural equation model was estimated, and results show that parents' school readiness beliefs and…

Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…

Bilingualism appears to be related to poor language and reading comprehension in the instructional language (L2). However, in the long term, an early age of second language acquisition (AoA) may produce higher levels of second language skills than a later onset of L2 exposure. Most studies on school-aged second language learners (L2 learners)…

In this study, the relationship between attitudes of pedagogical formation program pre-service teachers towards teaching profession and their self-efficacies has been examined. In this case, the effect of graduation branches of the pre-service teachers on teacher self-efficacies and the effect of teacher self-efficacies on attitudes towards…

In this particular study attitude towards mathematics lessons and relation between anxiety and academic success had been explored. Though as a result of the comparative analysis of the study gender, teacher, class and the most popular and favourite lesson were determined to cause significant differences of opinion with regard to attitude towards…

Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method…

A modification of the first stage of the standard procedure for two-stage meta-analytic structural equation modeling for use with large complex datasets is presented. This modification addresses two common problems that arise in such meta-analyses: (a) primary studies that provide multiple measures of the same construct and (b) the correlation…

Based on the interplay between achievement goals theory and social comparison theory, our study focused on how achievement goals relate to subjective well-being in the school context in Chinese adolescents. Specifically, we addressed a theoretical model that specified that academic social comparisons and self-esteem would serve as mediators in the…

It is well known that self-efficacy positively affects students' learning behavior. However, less is known about this association in self-directed learning, which additionally promotes student's control strategies. To close this gap, this study tested whether control strategies mediate the association between self-efficacy and effort investment,…

This study explores the structural relationship among digital literacy, learning strategies, and core competencies among South Korean college students as well as the group differences between these variables depending on individual characteristics. Data analysis was conducted by correlation analysis, independent sample "t"-testing, and…