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…

Estimation of within-trial interactions in meta-analysis is crucial for reliable assessment of how treatment effects vary across participant subgroups. However, current methods have various limitations. Patients, clinicians and policy-makers need reliable estimates of treatment effects within specific covariate subgroups, on relative and absolute…

As part of its "Guiding Principles for Evaluators," the American Evaluation Association (AEA) requires that evaluators develop cultural competencies. Using a successive-independent-samples design, the researchers sought to compare perceptions of cultural competence across a duration of 10 years. Qualitative data were collected via online…

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: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…

University rankings have a growing impact on how people view the academic excellence of higher education. The complicated relationship between rankings and academic excellence is explored in this essay along with how it may affect higher education policy and practice. The importance of rankings and their influence on institutional decision-making…

Synthesizing findings about the indirect (mediated) effect plays an important role in determining the mechanism through which variables affect one another. This simulation study compared six methods for synthesizing indirect effects: correlation-based MASEM, parameter-based MASEM, marginal likelihood synthesis, an adjustment to marginal likelihood…

Volunteering is an activity that enables the development of an individual's competency and is also an area of interest both of society and the academic community. This article aims to compare the motivation for volunteering and the experience of volunteering with students within helping professions and economics. For the purpose of this research,…

As outlined by Benjamin Bloom, students working within a mastery learning framework must demonstrate mastery of the core prerequisite material before learning any subsequent material. Since many learning systems in use today adhere to these principles, an important component of such systems is the set of rules or algorithms that determine when a…

People often speak indirectly. For example, "It's cold in here" might be intended not only as a comment on the temperature but also as a request to turn on the heater. How are comprehenders' inferences about a speaker's intentions informed by their ability to reason about the speaker's mental states, that is, "mentalizing?" We…

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…

Background: Model-based meta-analysis (MBMA) is increasingly used to inform drug-development decisions by synthesising results from multiple studies to estimate treatment, dose-response, and time-course characteristics. Network meta-analysis (NMA) is used in Health Technology Appraisals for simultaneously comparing effects of multiple treatments,…

Thinking skills play a critical role in determining language performance. Recent advancement in cognitive diagnostic modelling (CDM) provides a powerful tool for obtaining fine-grained information regarding these thinking skills during reading. Studies are scant, however, exploring the relations between thinking skills and language performance,…

This mixed methods study examined holistic, analytic, and part marking models (MMs) in terms of their measurement properties and impact on candidate CEFR classifications in a semi-direct online speaking test. Speaking performances of 240 candidates were first marked holistically and by part (phase 1). On the basis of phase 1 findings--which…

Following Richards's (2015) ideas of using movie clips, videos, and games as valuable technological tools for language learning, the present study was conducted to investigate the effectiveness of using novel extracts and computer game cutscenes based on the same story to develop the vocabulary knowledge of English as a foreign language (EFL)…