Building a foundational approach for strategic enrollment management (SEM) is necessary to succeed in today's volatile higher education environment. It all begins with a mutual understanding of SEM and aligning the campus with the enrollment management organization. This article shares how to bring campus stakeholders together to optimize…

Bayesian inference for structural equation models (SEMs) is increasingly popular in social and psychological sciences owing to its flexibility to adapt to more complex models and the ability to include prior information if available. However, there are two major hurdles in using the traditional Bayesian SEM in practice: (1) the information nested…

Strategy is planning about survival in a tough and competitive environment, and strategic enrollment management (SEM) is about higher education institutions exerting influence on student enrollment to generate tuition revenue. Although the global environment of the 21st century provides opportunities for improving enrollment from various parts of…

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…

This research focuses on better understanding the nature of pre-service teachers' four-frame leadership orientations. As it is known, the phenomenon of leadership still continues to be a research topic in the field of educational administration. But, these studies carried out on teachers and school administrators. As future teachers and school…

In this new era drenched with data, statistical literacy becomes more essential for individuals to be able to read, communicate, and make informed decisions. Moreover, statistical literacy is highly essential for education policy makers who are highly accountable for all policy outcomes including school improvement, resource allocation, curriculum…

The social relations model (SRM) is very often used in psychology to examine the components, determinants, and consequences of interpersonal judgments and behaviors that arise in social groups. The standard SRM was developed to analyze cross-sectional data. Based on a recently suggested integration of the SRM with structural equation models (SEM)…

Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted…

This study explores the factors affecting cyberbullying behaviour through their attitudes and intentions based on a model developed using Social Cognitive Theory and the Theory of Planned Behaviour. Results from a survey of 428 Malaysian tertiary students were analysed using a two-step Structural Equation Modeling (SEM)--Artificial Neural Networks…

Various independent variables affect or have a relationship with students' mathematics academic achievement theoretically, practically, and statistically. These variables include the learning needs of students, use of general teaching principles, and learning strategies. This study aims to examine the predictive level of learning needs, learning…

Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…

The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…

This study analyzed data from 674 institutions collected through an AACRAO 60 Second Survey to investigate the levels of institutionalization of SEM in U.S. postsecondary institutions. Both Resource Dependency Theory (Pfeffer and Salancik 2003) and Institutional Isomorphism (DiMaggio and Powell 1983) were used to frame the study. The researchers…

Artificial intelligence (AI)-based chatbots have received considerable attention during the last few years. However, little is known concerning what affects their use for educational purposes. This research, therefore, develops a theoretical model based on extracting constructs from the expectation confirmation model (ECM) (expectation…