Spirituality is a phenomenon which continues to attract much interest in the Western culture. Throughout the years, it has changed in form and developed in understanding. It has become unprecedentedly broad and embraced by many people, even those who do not consider themselves to be religious. Indeed, spirituality is a subject of debate within…

Institutions have invested considerably in resources and staff to increase student success and persistence. However, retention rates have remained fairly steady over time. The purpose of this study was to synthesize undergraduate student persistence models into a singular parsimonious model using meta-analytic structural equation modeling to test…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…

Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…

The research presented here is based on the objective of analyzing whether there is a relationship among neurodidactics, educational inclusion and sustainability in a university context. The starting point was a non-experimental, descriptive, explanatory and correlational research, using an ad hoc Likert scale as a data collection instrument,…

This article provides an overview of different computational options for inference following normal theory maximum likelihood (ML) estimation in structural equation modeling (SEM) with incomplete normal and nonnormal data. Complete data are covered as a special case. These computational options include whether the information matrix is observed or…

The primary objective of this paper is twofold; firstly, to analyse the relationship between metacognitive strategies and learning performance. Secondly, a new mediator is proposed, namely digital literacy. Mental resilience is an omnitemporal skill that enables individuals to gain resilience thinking to successfully adapt to life tasks. Although…

Considering the importance of group member familiarity in collaborative learning in classroom learning environments, this study examined the impact of group member familiarity on CSCL (computer-supported collaborative learning) in a networked setting. Also, the differences between CSCL in the online environments and FtF (face-to-face)…

This study examined the relationships among home-based parental involvement, study habits, and academic achievement using structural equation modeling. The sample consisted of 566 eighth-grade students in Taiwan, and their mean age was 14.35. The data for home-based parental involvement and study habits was collected in the "first survey…

Even though big data offers new opportunities to organizations, big data adoption (BDA) is still in the early stages of introduction, and its determinants remain unclear in many sectors. Therefore, this research intended to identify the determinants of BDA in the education sector. A theoretical model was developed based on the integration of the…

The aim of this study is to examine the mediating role of self-compassion in the relationship between perfectionism and academic procrastination in teacher candidates. Structural equation modeling, one of the quantitative research methods, was used in the study. The participants of the study consisted of a total of 478 teacher candidates, 328…

In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network…

Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…

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…