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…

This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…

To support practitioners' need for reliable and valid measures of the youth camp experience, this study compares the results of two analytic approaches--(1) composite-based paired samples t tests and (2) a latent structural equation model approach--using the Parental Perceptions of Developmental Outcomes (PPDO) scale in a sample of 930 parents of…

Understanding the factors related to teacher burnout can support school administrators and teachers in optimizing the direction of school development and reducing teacher burnout. This study investigated the impact of school information and communication technology (ICT) construction and teacher information literacy on teacher burnout and explored…

Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…

This study examined the differences between the one-child family and two-child family regarding the effect of social support on parenting stress through parenting self-efficacy using multiple group structural equation modelling. A Chinese sample of 6131 one-child families and 4816 two-child families participated in the study. Parents independently…

In the technology acceptance studies, both the theory of reasoned action and the technology acceptance model have been widely adopted to study the factors that influence users' technology usage intentions. While these frameworks have been mostly tested in Western nations, there has been a little effort to apply these frameworks in non-Western…

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,…

This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…

The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…

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…

In many modeling contexts, the variables in the model are linear composites of the raw items measured for each participant; for instance, regression and path analysis models rely on scale scores, and structural equation models often use parcels as indicators of latent constructs. Currently, no analytic estimation method exists to appropriately…