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Bo Zhang; Jing Luo; Susu Zhang; Tianjun Sun; Don C. Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
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…
Descriptors: Correlation, Predictor Variables, Monte Carlo Methods, Statistical Bias
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Kai Zhang; Jingying Chen; Zongkai Yang – British Journal of Educational Technology, 2024
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…
Descriptors: Language Skills, Autism Spectrum Disorders, Children, Interaction
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Jihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
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…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
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Susan McKenney; Jan van den Akker; Ryan Wakamiya; Andreas Beer; Yvonne Zijlstra; Edlyn Chao – Curriculum Matters, 2024
Curriculum development is critically important to the educational enterprise, yet we lack insight into if and how ideal design and development practices are enacted in organizations that create curricular programs and resources intended for large-scale implementation. This study identified essential elements of curriculum development practices…
Descriptors: Curriculum Design, Curriculum Development, Evaluation Methods, Educational Practices
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Jeff Coon; Paulina N. Silva; Alexander Etz; Barbara W. Sarnecka – Journal of Cognition and Development, 2025
Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…
Descriptors: Developmental Psychology, Bayesian Statistics, Research Methodology, Psychological Studies
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Jean-Paul Fox – Journal of Educational and Behavioral Statistics, 2025
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…
Descriptors: Sample Size, Item Response Theory, Accuracy, Bayesian Statistics
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Ângelo Luís; Fernanda Domingues – Biochemistry and Molecular Biology Education, 2025
Bacteria have developed a cell-to-cell communication system called quorum sensing (QS), allowing them to regulate group behavior and synchronize the expression of virulence factors, responsible for increasing their infection capacity and resistance to antimicrobials. Although the control of microbial infections through the inhibition of microbial…
Descriptors: Inhibition, Evaluation Methods, Science Experiments, Microbiology
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Tugay Kaçak; Abdullah Faruk Kiliç – International Journal of Assessment Tools in Education, 2025
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…
Descriptors: Factor Analysis, Monte Carlo Methods, Mathematical Models, Sample Size
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Athraa Abd Ali Lateef AL-Aayedi; Ehsan Rezvani; Faris Kadhim Teema; Fatemeh Karimi – International Journal of Language Testing, 2025
This article delved into the realm of EFL assessment in Iraq by investigating the beliefs of Iraqi EFL teachers about assessment practices they employed in their classroom and determining whether there was any congruency between their beliefs and actual assessment practices. For this purpose, 140 experienced Iraqi EFL teachers were selected by…
Descriptors: Evaluation Methods, Educational Practices, Foreign Countries, English (Second Language)
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Lauren Gibson; K. C. Busch; Kathryn Stevenson; Lynn Chesnut; Bethany Cutts; Erin Seekamp – Environmental Education Research, 2025
As environmental challenges increase in scope and scale, new conceptualizations for environmental literacy are needed. Specifically, notions of environmental literacy must move from those at the individual level to those at the group, or community, level. However, the concept of community level environmental literacy is underdeveloped. In this…
Descriptors: Environmental Education, Multiple Literacies, Community Education, Delphi Technique
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Cunqiang Chang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional system focuses excessively on physical skills and physical fitness assessment, with problems such as single indicator, static approach, subject limitation and inefficient data utilization, making it difficult to assess students in a comprehensive and fair manner. The rise of big data technology has brought about a turnaround, from…
Descriptors: Physical Education, Teacher Evaluation, College Instruction, College Faculty
Ken O'Connor; Matt Townsley – Phi Delta Kappan, 2025
Decisions about assessment are often built on myths about teacher professional judgment and subjectivity that prioritize standardized assessment over classroom assessment. Ken O'Connor and Matt Townsley discuss some of the most common myths and explain how to dispel them by developing clear guidelines in which teachers can exercise their judgment,…
Descriptors: Decision Making, Student Evaluation, Standardized Tests, Testing Problems
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Glory Tobiason; Adrienne Lavine – Change: The Magazine of Higher Learning, 2025
Current methods for evaluating faculty teaching fall short, and one way to address this is through campus-wide initiatives that focus on change at the level of academic units. The complex context of higher education makes meaningful teaching evaluation difficult; in particular, four sobering realities of this context must be taken into account in…
Descriptors: Teacher Evaluation, Evaluation Methods, Testing Problems, Educational Change
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Tovey, Tiffany L. S.; Skolits, Gary J. – American Journal of Evaluation, 2022
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…
Descriptors: Evaluators, Evaluation Methods, Reflection, Attitudes
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Pineda-Alhucema, Wilmar; Jiménez-Figueroa, Giomar – Infant and Child Development, 2022
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…
Descriptors: Social Cognition, Children, Evaluation Methods, Evaluation
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