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Luu, Kimberly; Sidhu, Ravi; Chadha, Neil K.; Eva, Kevin W. – Advances in Health Sciences Education, 2023
Clinical supervisors are known to assess trainee performance idiosyncratically, causing concern about the validity of their ratings. The literature on this issue relies heavily on retrospective collection of decisions, resulting in the risk of inaccurate information regarding what actually drives raters' perceptions. Capturing in-the-moment…
Descriptors: Clinical Experience, Practicum Supervision, Student Evaluation, Evaluation Methods
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Egmose, Ida; Skou, Mia; Madsen, Eva Back; Stuart, Anne Christine; Krogh, Marianne Thode; Haase, Tina Wahl; Vaever, Mette Skovgaard – European Journal of Developmental Psychology, 2023
Mind-mindedness (MM) refers to the parent's ability to treat the child as an individual with a mind of his or her own. Studies have found representational and interactional MM to predict child development, but more research is needed on the validity of representational MM in parents of infants. Therefore, we examine the reliability and validity of…
Descriptors: Individualism, Mothers, Infants, Foreign Countries
Feldberg, Zachary R. – ProQuest LLC, 2023
Cognitive diagnostic models (CDMs) provide pedagogically relevant information in the form of a student profile of multiple binary categorizations of students into mastery or nonmastery statuses on latent traits called attributes. Federal educational accountability requires accountability measures to designate students into one of at least three…
Descriptors: Accountability, Standards, Cutting Scores, Models
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Tavares, Walter; Kinnear, Benjamin; Schumacher, Daniel J.; Forte, Milena – Advances in Health Sciences Education, 2023
In this perspective, the authors critically examine "rater training" as it has been conceptualized and used in medical education. By "rater training," they mean the educational events intended to "improve" rater performance and contributions during assessment events. Historically, rater training programs have focused…
Descriptors: Medical Education, Interrater Reliability, Evaluation Methods, Training
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Brogan L. Barr; Virginia V. W. McIntosh; Eileen F. Britt; Jennifer Jordan; Janet D. Carter – Measurement: Interdisciplinary Research and Perspectives, 2024
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…
Descriptors: Evaluators, Interrater Reliability, Reliability, Measurement Techniques
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Erin Johnson; Samantha Barstack; Yikai Xu; Hannah Wise; Bradley T. Erford; Catharina Chang; David Delmonico – Measurement and Evaluation in Counseling and Development, 2025
Problem Statement: Among individuals aged 12 years or older, 14.3% (40.0 million) reporting the use of an illicit drug in the previous year. Given the prevalence of drug abuse, it is increasingly important to determine effective screening practices, treatment procedures, and best practices among various subpopulations to identify drug use-related…
Descriptors: Drug Abuse, Screening Tests, Psychometrics, Synthesis
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Mirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
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Yangmeng Xu; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2025
Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…
Descriptors: Academic Achievement, Psychometrics, Scoring, Evaluation Methods
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Juliana Reyes-Martin; David Simó-Pinatella; Ana Andrés – Journal of Applied Research in Intellectual Disabilities, 2025
Background: Behavioural problems in individuals with intellectual disabilities have a negative impact on them. Limited assessment measures exist in Spain. This study aimed to validate the Behavior Problems Inventory--Short Form (BPI-S) in the Spanish population by examining its psychometric properties and factorial structures. Method: This study…
Descriptors: Foreign Countries, Behavior Problems, Students with Disabilities, Intellectual Disability
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Alberto Gandolfi – International Journal of Artificial Intelligence in Education, 2025
In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…
Descriptors: Artificial Intelligence, Reliability, Problem Solving, Mathematics Skills
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Victoria Reyes; Elizabeth Bogumil; Levin Elias Welch – Sociological Methods & Research, 2024
Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…
Descriptors: Qualitative Research, Data Analysis, Guides, Databases
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Stefanie A. Wind; Yuan Ge – Measurement: Interdisciplinary Research and Perspectives, 2024
Mixed-format assessments made up of multiple-choice (MC) items and constructed response (CR) items that are scored using rater judgments include unique psychometric considerations. When these item types are combined to estimate examinee achievement, information about the psychometric quality of each component can depend on that of the other. For…
Descriptors: Interrater Reliability, Test Bias, Multiple Choice Tests, Responses
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Haiko Bruno Zimmermann; Debora Knihs; Raphael Sakugawa; Chris Bishop; Juliano Dal Pupo – Measurement in Physical Education and Exercise Science, 2024
Background: Measures that assess muscle strength and its development, either voluntarily or involuntarily, are important in the clinical and research context. The main aim of this study was to verify the interday reliability and the minimum detectable change (MDC) of the knee extensors muscles torque using evoked contractions and explosive…
Descriptors: Human Body, Physiology, Motor Reactions, Muscular Strength
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William C. M. Belzak; Daniel J. Bauer – Journal of Educational and Behavioral Statistics, 2024
Testing for differential item functioning (DIF) has undergone rapid statistical developments recently. Moderated nonlinear factor analysis (MNLFA) allows for simultaneous testing of DIF among multiple categorical and continuous covariates (e.g., sex, age, ethnicity, etc.), and regularization has shown promising results for identifying DIF among…
Descriptors: Test Bias, Algorithms, Factor Analysis, Error of Measurement
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Augustin Mutak; Robert Krause; Esther Ulitzsch; Sören Much; Jochen Ranger; Steffi Pohl – Journal of Educational Measurement, 2024
Understanding the intraindividual relation between an individual's speed and ability in testing scenarios is essential to assure a fair assessment. Different approaches exist for estimating this relationship, that either rely on specific study designs or on specific assumptions. This paper aims to add to the toolbox of approaches for estimating…
Descriptors: Testing, Academic Ability, Time on Task, Correlation
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