Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one…

In applied universities, innovation and entrepreneurship education (IEE) has entered a new era of comprehensive integration of professional education. However, as a novel educational activity, the evaluation of professional innovation integration still lacks reasonable appraisal standards. This article is based on the basic theory of the…

Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying talent among many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using…

Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using traditional…

The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…

The evolving complexity of Virtual Reality (VR) technologies necessitates an in-depth investigation of the VR features and their specific utility. Although VR is utilized across various skill-training applications, its successful deployment depends on both technical maturity and context-specific suitability. A comprehensive understanding of…

Knowledge maps have been widely used in knowledge elicitation and representation to evaluate and guide students' learning. To effectively evaluate maps, instructors must select the most informative map features that capture students' knowledge constructs. However, there is currently no clear and consistent criteria to select such features, as…

Culturally responsive teaching (CRT) was introduced over 30 years ago and remains an educational framework used to guide instruction today. Although research has evidenced its utility and positive impact, little is known about available tools to guide practitioners in assessing and monitoring their implementation of CRT practices. This systematic…

As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…

Debates about appropriate, fair and effective ways of assessing research and researchers have raged through the scientific community for decades, recently mostly concerned with discussing the merits and limitations of metric-based, quantitative assessments versus peer review-based, qualitative alternatives. Ample attention has been paid to formal…

Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…

This study explored the influence of the dynamic assessment of human--computer interactive games on children's language potential. Thirty-seven special children aged 3--7 years were selected to participate in the study. They were divided into three groups according to their scores on the Autism Behaviour Checklist: (1) a non-autism group, (2) a…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

The purpose of this study was to determine professional evaluators' perceptions of reflective practice (RP) and the extent and manner in which they engage in RP behaviors. Nineteen evaluators with 10 or more years of experience in the evaluation field were interviewed to explore our understanding and practice of RP in evaluation. Findings suggest…

Social cognition is a very important group of neurocognitive processes involved especially in social functioning; currently, the amount of research on this topic is increasing and suggests some considerations about its assessment, particularly in the child population. This article presents some of these considerations focussed on the theoretical…