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…

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…

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…

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,…

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…

Carefully designed evaluations of informal science events are key to gaining insights into their efficacy and impact on audiences. However, traditional approaches to evaluation, such as interviews and questionnaires, can be disruptive to the audience experience of science events. There is therefore a need to develop and implement new evaluation…

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…

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…

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…

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…