In the virtual realm, also referred to as the metaverse, users generally communicate using avatars. This metaverse is viewed as a prospective tool in different industry types, and in this regard, researchers have examined its significance in education owing to its increasing reach. In fact, it has been widely accepted that Information System (IS)…

Purpose: This study envisioned plausible influential factors on service quality and academic excellence relatable to graduate self-confidence in an open distance learning (ODL) outlook. The objective was to expose the moderating role of academic excellence (graduate satisfaction) between service quality and self-confidence (engagement,…

First-year student's satisfaction has considered an important factor in the quality education offered by the university program. The objective of this study is to investigate the relationship among gender, a reason to participate in STEM-related subjects, program, and the university support on first-year student's satisfaction of STEM learning.…

Structural equation modeling (SEM) applications routinely employ a trilogy of significance tests that includes the likelihood ratio test, Wald test, and score test or modification index. Researchers use these tests to assess global model fit, evaluate whether individual estimates differ from zero, and identify potential sources of local misfit,…

Socio-Scientific Issues (SSI) appear to be a viable means for promoting students' development of science literacy, providing relevance to scientific concepts for students to apply their understandings and make sense of science-related issues. However, the question remains as to how their reasoning competencies regarding these issues interact with…

The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…

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.…

Affective factors such as the achievement emotions are considered critical for students' academic performance in STEM degree programmes and careers. In this study, a reciprocal causation model was tested between two affective factors: enjoyment and anxiety, and organic chemistry course performance. Each variable was measured three times in four…

Undergraduate science, technology, engineering, and mathematics (STEM) students' motivations have a strong influence on whether and how they will persist through challenging coursework and into STEM careers. Proper conceptualization and measurement of motivation constructs, such as students' expectancies and perceptions of value and cost (i.e.,…

Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…

This dissertation implements self-determination theory to examine learning environments conducive to student motivation in higher education. Specifically, this work is concerned with measuring the satisfaction and frustration of students' three basic psychological needs (BPNs), the need for autonomy, relatedness, and competence (ARC). To do so,…

This paper explores a causal model, using Structural Equation Modelling (SEM), in order to understand how the perceived effectiveness of the 'flipped classroom' and students' satisfaction with this technique can be affected by students' engagement in the 'flipped classroom' activities as well as the complexity and task orientation of such…

One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…

Vocational education and training (VET) programs are typically regarded as the means to enable successful school-to-work transitions. However, high rates of premature contract terminations in VET programs suggest that adolescents face difficulties during this transition. This paper aims to examine the determinants of persistence intention,…

The purposes of this research were (1) to develop components and indicators of effective academic affairs administration of secondary schools, (2) to examine the congruence of the developed models of the components and indicators of effective academic affairs administration of secondary schools, and (3) to determine the congruence of a structural…