The present work focuses on the performance of two types of shrinkage priors--the horseshoe prior and the recently developed regularized horseshoe prior--in the context of inducing sparsity in path analysis and growth curve models. Prior research has shown that these horseshoe priors induce sparsity by at least as much as the "gold…

Mediation models have been widely used in many disciplines to better understand the underlying processes between independent and dependent variables. Despite their popularity and importance, the appropriate sample sizes for estimating those models are not well known. Although several approaches (such as Monte Carlo methods) exist, applied…

Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for…

Structural equation modeling (SEM) is widely used in behavioral, social, and education research. Drawing publication-ready path diagrams for SEM is not a pleasant task with the existing software. The article introduces an open-source web-based graphical application, "semdiag," for drawing WYSIWYG SEM path diagrams interactively. The…

Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…

Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…

Structural equation modeling (SEM) has been deemed as a proper method when variables contain measurement errors. In contrast, path analysis with composite-scores is preferred for prediction and diagnosis of individuals. While path analysis with composite-scores has been criticized for yielding biased parameter estimates, recent literature pointed…

Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based…

This research aims to analyze studies that have investigated the effects of teacher empowerment on job satisfaction. From the results obtained from the meta-analytic structural equation modeling of 11 studies (N = 19,462), it has been found that the teacher empowerment model and job satisfaction are meaningfully correlated. The findings have also…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

Background: Over the past few decades early self-regulation has been identified as foundational to positive learning and wellbeing trajectories. As a consequence, a wide range of approaches have been developed to capture children's developmental progress in self-regulation. Little is known, however, about whether and which of these are reliable…

Professional Learning Community (PLC) is embedded in one of the Malaysian educational policies with the aim of improving teachers' effectiveness. However, the robust empirical evidence upon this matter is scarce, especially in terms of the relationship between school culture and PLC. Therefore, a correlational design study conducted to examine the…

Learning communities are often associated with higher student engagement and academic achievement. Few studies to date, however, have examined the impacts of these practices among international students. To address this gap, the following questions led the current study: "To what degree is participation in learning communities associated with…

The proliferation of social media over the past two decades has compelled the educators and researchers to explore the ways and means by which these technologies have affected the education system. One of the main challenges is to assess the perceptions of the various stakeholders involved. The purpose of this study is to build a model that…

The metacognitive self-regulation (MSR) scale is among the most widely used measures of metacognition in educational research. However, the psychometric properties and validity of the scale have not been well established. A series of analyses on a college sample were performed to address this issue. In Study 1, a split-sample exploratory (EFA) and…