This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within x within and between x within latent interaction under the CLPM model framework is compared between the one-step Bayesian LMS method and the two-step multiple imputation analysis through a simulation…

Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…

Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…

The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…

This study aimed to investigate the relationships between working memory capacity, fluid intelligence (Gf), and work engagement within the framework of the job demands-resources theory. Multioccupational employees (N = 175 in Study 1 and N = 383 in Study 2) completed sets of Gf, complex span, and n-back tests, along with job resources and work…

This study uses the capability-opportunity-motivation behavior framework as a theoretical basis and partial least squares structural equation modeling as an empirical research method to identify factors that influence the interest in studying abroad. We rely on primary microdata collected through a self-administered questionnaire among Egyptian…

Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…

Today, it is necessary to learn to manage and administer organizations based on values, which is also influenced by the culture and atmosphere of the organization. No comprehensive research has been done on organizational culture and personnel values. Therefore, the purpose of this study is to provide a theoretical framework based on the…

A standardised financial literacy curriculum ensures that all students in a school system receive financial knowledge, which offers them the necessary support to make informed decisions about money management and practise appropriate financial behaviour. In Hong Kong, all secondary schools supposed to teach financial literacy via a standardised…

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.…

Purpose: Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors…

In response to the global imperative of nurturing all-round students, educational institutions and schools worldwide have been developing learning activities targeting holistic competency development of students. However, there have been resistance and challenges on how to develop such competencies. Extending the Presage-Process-Product (3P)…

This study argues that in developing a robust framework for students in a blended learning environment, Structural Alignment (SA) becomes the third principle of specialisation in addition to Epistemic Relation (ER) and Social Relation (SR). We provide an extended code: (ER+/-, SR+/-, SA+/-) that present strong classification and framing to the…

Although classical statistical techniques have been a valuable tool in second language (L2) research, L2 research questions have started to grow beyond those techniques' capabilities, and indeed are often limited by them. Questions about how complex constructs relate to each other or to constituent subskills, about longitudinal development in…

This paper refers to whole school interventions aiming to promote student learning outcomes through improving the functioning of school factors. Evaluation studies of these interventions mainly measure their impact on student learning outcomes. This paper argues for the importance of studying the mechanisms of whole school interventions through…