When a researcher proposes an SEM model to explain the dynamics among some latent variables, the real question in model evaluation is the fit of the model's structural part. A composite index that lumps the fit of the structural part and measurement part does not directly address that question. The need for more attention to structural-level fit…

Frailty is a health concern for many adults with intellectual disability and should be measured to detect at-risk conditions, monitor disease, plan treatment, and gauge mortality. This descriptive pilot study evaluated measurement consistency (inter-rater agreement) of the Intellectual Disability-Frailty Index Short Form among multiple assessors…

Grade retention is at the core of the education debate in Spain, to the extent that its impact on students' competences has not been assessed beyond correlation. Because of that, in the present study, we analyse the influence of grade retention on students' competences, using more than 146,000 students from 6 PISA cycles (2003-2018) and an…

Effective teacher listening is critical in establishing a culturally responsive and equitable learning environment for all students. Teacher listening orientations are ways in which teachers are situated to listen to students. Measurements of their orientations during classroom discourse is an important yet under-researched tool for enhancing both…

Retrieval practice has been shown to be an effective and efficient way to enhance learning and which has led researchers to call for retrieval practice to be part of teachers' regular repertoire of activities within a classroom. Recent policy changes in England have seen retrieval practice being encouraged and emphasized as a strategy that…

I consider recent attempts to establish standards, principles, and goals for artificial intelligence (AI) through the lens of educational measurement. Distinctions are made between generative AI and AI-adjacent methods and applications of AI in formative versus summative assessment contexts. While expressing optimism about its possibilities, I…

The aim of this study was to investigate the relationship between lower extremity flexibility values and vertical jump performance of elite soccer players. Twenty-six young elite male soccer players voluntarily participated in the study. Age, height, and weight of the participants were determined as descriptive statistics. Lower extremity…

Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

Over the past 23 years, the national average for reading achievement among learners has ranked below grade level (Learned et al., 2019). The research focus was to understand why struggling readers' reading skills improved. Two research questions, two hypotheses, and two null hypotheses were developed for this study. No participants participated in…

Understanding cognitive effort expended during assessments is essential to improving efficiency, accuracy, and accessibility within these assessments. Pupil dilation is commonly used as a psychophysiological measure of cognitive effort, yet research on its relationship with effort expended specifically during language processing is limited. The…

The problem of academic dishonesty in general and exam cheating in particular, has been ubiquitous in schools, colleges, and universities around the world. This paper reports on the findings from teachers' and students' experiences and perceptions of exam cheating at Nepali schools, colleges, and universities. In so doing, the paper highlights the…

Developmental disorders impose significant public health and economic burdens on society. These conditions present substantial social, communication, and behavioral challenges throughout an individual's lifetime. It is well known that early diagnosis is crucial for enabling timely and effective interventions, which improve long-term outcomes for…

In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

Professional references are widely used in hiring decisions, yet their effectiveness remains largely understudied. We analyze structured ratings collected from the professional references of teacher applicants and conduct an experiment to see whether the ratings influence hiring managers' assessments of applicants and hiring decisions. We find…

Multiple-choice questions have become ubiquitous in educational measurement because the format allows for efficient and accurate scoring. Nonetheless, there remains continued interest in constructed-response formats. This interest has driven efforts to develop computer-based scoring procedures that can accurately and efficiently score these items.…