Even when raters demonstrate agreement in the use of a measure, limited score variability or violation of often-ignored statistical assumptions can result in lower reliability estimates than intuitively expected. This article uses data drawn from two randomized controlled trials of schema therapy and cognitive behavioral therapy for the treatment…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

With the generative artificial intelligence (AI) tool's remarkable capabilities in understanding and generating meaningful content, intriguing questions have been raised about its potential as an automated essay scoring (AES) system. One such tool is ChatGPT, which is capable of scoring any written work based on predefined criteria. However,…

Higher education accreditation has spread internationally as a vehicle for quality assurance and improvement but is strongly influenced by accreditation practices in the United States. The organisational structure and processes of seven United States health professions accreditors were analysed to identify common characteristics that reflect…

Scoring rubrics are known to be effective for assessing writing for both testing and classroom teaching purposes. How raters interpret the descriptors in a rubric can significantly impact the subsequent final score, and further, the descriptors may also color a rater's judgment of a student's writing quality. Little is known, however, about how…

Mobile technologies, including apps, have become increasingly popular, and are being used to support daily activities among a variety of individuals. While the use of mobile technologies will not eliminate barriers often faced by individuals with disabilities, these systems have the potential to help minimize some of these barriers. As the…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has yet to be comprehensively evaluated against humans, and no study has tested Generative Pre-Trained…

Engaging students in creating learning resources has demonstrated pedagogical benefits. However, to effectively utilize a repository of student-generated content (SGC), a selection process is needed to separate high- from low-quality resources as some of the resources created by students can be ineffective, inappropriate, or incorrect. A common…

Purpose: Assessment of strained voice quality is difficult due to the weak reliability of auditory-perceptual evaluation and lack of strong acoustic correlates. This study evaluated the contributions of relative fundamental frequency (RFF) and mid-to-high frequency noise to the perception of strain. Method: Stimuli were created using recordings of…

Prior research has evaluated the reliability and validity of structured visual inspection (SVI) criteria for interpreting functional analysis (FA) outcomes (Hagopian et al., 1997; Roane et al., 2013). We adapted these criteria to meet the unique needs of interpreting latency-based FA outcomes and examined the reliability and validity of applying…

Rater comments tend to be qualitatively analyzed to indicate raters' application of rating scales. This study applied natural language processing (NLP) techniques to quantify meaningful, behavioral information from a corpus of rater comments and triangulated that information with a many-facet Rasch measurement (MFRM) analysis of rater scores. The…

This is the sixth and culminating study in a series whose purpose has been to acquire a conceptual understanding of school band performance and to develop an assessment based on this understanding. With the present study, we cross-validated and applied a rating scale for school band performance. In the cross-validation phase, college students…

Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…

Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…