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…

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,…

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…

This study aims to identify some perceived gaps in a selection of statistical skills and software abilities of professors of education in United States colleges and universities. In addition to a general U. S. sample, a sample of education professors in Historically Black Colleges and Universities (HBCUs) was examined in order to understand their…

The purpose of the study was to evaluate the relationship between school burnout, sense of school belonging, and academic achievement in medical students. This cross-sectional study was performed with students at the Ondokuz Mayis University Medical Faculty (Samsun, Turkey) between 1 and 31 May 2019. Six hundred one (71.0%) first, second, and…

This paper assesses the antecedents (prospects) geared toward the implementation of e-learning strategy in the HLI's of Ghana (a developing country) amidst the COVID-19 pandemic. The study again espouses the enabling factors that influence the e-learning system usage during the COVID-19 pandemic in a less digitalized economy. In doing so, the…

In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…

Research into language learning demotivation has tended to focus on the identification of discrete factors resulting in demotivation. In this article, we report an investigation into the interrelationship among factors eventually leading to demotivation using a sequential exploratory mixed-methods design. In Study 1, 13 participants were…

One of the best-established findings in intelligence research is the pattern of positive correlations among various intelligence tests. Although this so-called positive manifold became the conceptual foundation of many theoretical accounts of intelligence, the very nature of it has remained unclear. Only recently, "Process Overlap…