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…

Special education teachers of color are underrepresented in research about attrition and retention, despite evidence of their role in the academic, social, and emotional success of students of color. We used critical quantitative methods and structural equation modeling to investigate the attrition and retention variability between special…

Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand…

The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…

Factor score regression (FSR) is widely used as a convenient alternative to traditional structural equation modeling (SEM) for assessing structural relations between latent variables. But when latent variables are simply replaced by factor scores, biases in the structural parameter estimates often have to be corrected, due to the measurement error…

Developing students' self-regulated learning (SRL) is crucial for nurturing the life-long learners needed in modern and future society. This study adopted structural equation modelling to explore the relationships among self-regulatory climate, group regulation in project-based learning (PBL) and individual regulatory ability. The results indicate…

The core of brand citizenship behavior (BCB) is to find ways to improve a brand's standing in the market. The suggested model has two sides, the internal side is focused on organizational inputs that contribute to BCB and the external side is focused on the marketing side of BCB. The data has been collected from 245 respondents by using a…

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…

This study explores the perception of exclusion in online social networks by synthesizing the Corresponding Fields Model (Helsper in "Commun Theory" 22(4):403-426, 2012). The predictors in the model, including access barriers, insecurity, usage competencies, and cultural mismatch, was empirically tested based on data from 480…

Although the adoption of digital technology has gained considerable attention in higher education, currently research mainly focuses on implementation in formal learning contexts. Investigating what factors influence students' digital informal learning is still unclear and limited. To understand better university students' digital informal…

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…