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…

Systematic reviews and meta-analyses aggregate research findings across studies and populations, making them a valuable form of research evidence. Over the past decade, studies in medical education using these methods have increased by 630%. However, many manuscripts are not publication-ready due to inadequate planning and insufficient analyses.…

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…

Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…

Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…

The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…

The training of hostel service skills emphasizes the application of procedural knowledge and complex problem-solving skills, and with the development of education technology, game-based learning that mixes virtual reality (VR) and physical games has begun to be emphasized. In this study, we proposed a multi-dimensional scaffolding design framework…

This best-evidence synthesis appraises the design and outcome characteristics of vocabulary intervention studies conducted with preschool through 6th grade emergent bilingual (EB) children and spotlights rigorously designed studies for which effects could be better attributed to instructional features. Twenty-nine selected studies were analysed…

Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…

The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…

Purpose: This study aims to investigate patterns of information use among undergraduate engineers as they progress through their academic programs. The primary objective was to discern how second and fourth-year students differ in their use of different types of information while performing specific tasks, namely, conducting labs, composing…

Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…

This study explored how speech-language pathologists (SLPs) in Jordan perceived and implemented telepractice at the beginning of the COVID-19 pandemic, from April to June 2020. Eighty-five SLPs who provided telepractice and 57 SLPs, who did not, completed an online survey sharing their perceptions related to the delivery and barriers of…

This paper explores the affordances of mobile learning in developing frameworks for discourse analysis. Specifically, this paper examines the commognitive analysis of classroom discourses in virtual learning environments (VLEs) and how it resolves the challenges of discourse analysis in face-to-face (F2F) settings. With the ongoing social turn of…

The linguistic relativity hypothesis has focused on the influence of grammar in language on speakers' cognition. Previous studies show that speakers of languages with grammatical number (e.g., English) are more aware of the number of objects. Additionally, recent studies reveal that bilinguals who speak languages with different grammatical…