Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…

Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…

Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…

This study examines the relationship between classroom goal structures, student goal orientations, and mathematics achievement in China and compare the pattern of relationship between Chinese Miao and Han students. Data on 532 Chinese students (including 211 Han and 321 Miao students) were analyzed using structural equation models. The results of…

Purpose: The transfer of training has been identified with the effectiveness of training. The purpose of this work is to analyse the impact of training stages (training needs analysis, application and evaluation) as they relate to training transfer. Design/methodology/approach: The study participants correspond to a sample of 116 teachers with…

Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…

It is important to understand the mechanisms behind student academic engagement, as engagement in school is associated with a host of positive outcomes. As children mature, their peers become more important compared to adults in regard to their emotional engagement in school. Thus, this study sought to examine an aspect of peer relations,…

Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…

In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…

With a growing interest in research on educational processes, there is a need to overview suitable latent variable models for students' learning experiences in real-time. This tutorial provides an introduction to intraindividual (multilevel) structural equation models (ISEM) for the analysis of process data (e.g. intensive longitudinal,…

A standardised financial literacy curriculum ensures that all students in a school system receive financial knowledge, which offers them the necessary support to make informed decisions about money management and practise appropriate financial behaviour. In Hong Kong, all secondary schools supposed to teach financial literacy via a standardised…

The situated nature of self-regulated learning (SRL) was investigated across two studies with gifted students. In Study 1, profile-centered analyses of academic cognitive-behavioral SRL revealed three groups of gifted undergraduate students (N=149): high regulated, regulated, and behaviorally dysregulated. In comparing gifted group profiles with…

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.…

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…