Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…

This study aims to determine the predictive effect of attitudes toward digital technologies, gender, grade level, and internet usage time on project based virtual learning qualifications (PBVLQ) of secondary school students. The research design is a predictive correlational study. The sample of the research was 703 6th, 7th and 8th grade students…

This study examined the role of two job resources (relatedness with students, relatedness with colleagues), two job demands (time pressure and disruptive student behaviour), and their unique and moderated associations with subjective work vitality and, in turn, turnover intentions among teachers during COVID-19. Data were collected from 325…

Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate statistical modeling technique that educational researchers frequently use. This paper reviews the uses of PLS-SEM in 16 major e-learning journals, and provides guidelines for improving the use of PLS-SEM as well as recommendations for future applications in…

Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…

This study investigates the effects of contextual and motivational factors as well as, crucially, their interaction in predicting university students' dropout intentions. We focus on context-related problems in students' degree program as contextual factors and students' personal best goals (PB goals) as motivational factors. The sample of this…

Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…

This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…

The general purpose of this research is to test the applicability of the career construction model with the structural equation model in explaining the relationships between adaptive readiness (personality traits and hope), adaptability resources (career adaptability) and adapting responses (career decision-making self-efficacy). This research was…

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…

Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…

Financial behavior is a means by which a person treats, manages, and uses available financial resources. This research aims to determine the effect of financial literacy and the use of financial technology on financial satisfaction through financial behavior as an intervening factor. Data were collected from 112 economics teachers using purposive…

Geospatial thinking is crucial for understanding the spatial order of the world. The factors influencing geospatial thinking deserve attention in geography education. Utilizing correlation analysis, we found that general intelligence, geographic knowledge, and geographic learning interest had a significant influence on geospatial thinking. This…

Immersive virtual reality is increasingly regarded as a viable means to support learning. Cave Automatic Virtual Environments (CAVEs) support immersive learning in groups of learners, and is of potential interest for educational institutions searching for novel ways to bolster learning in their students. In previous work we have shown that the use…