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Showing 1 to 15 of 76 results Save | Export
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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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Lovett, Benjamin J. – Educational Measurement: Issues and Practice, 2023
Students with disabilities often take tests under different conditions than their peers do. Testing accommodations, which involve changes to test administration that maintain test content, include extending time limits, presenting written text through auditory means, and taking a test in a private room with fewer distractions. For some students…
Descriptors: Students with Disabilities, Testing Accommodations, Psychometrics, Student Needs
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Fu, Yanyan; Choe, Edison M.; Lim, Hwanggyu; Choi, Jaehwa – Educational Measurement: Issues and Practice, 2022
This case study applied the "weak theory" of Automatic Item Generation (AIG) to generate isomorphic item instances (i.e., unique but psychometrically equivalent items) for a large-scale assessment. Three representative instances were selected from each item template (i.e., model) and pilot-tested. In addition, a new analytical framework,…
Descriptors: Test Items, Measurement, Psychometrics, Test Construction
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Berenbon, Rebecca F.; McHugh, Bridget C. – Educational Measurement: Issues and Practice, 2023
To assemble a high-quality test, psychometricians rely on subject matter experts (SMEs) to write high-quality items. However, SMEs are not typically given the opportunity to provide input on which content standards are most suitable for multiple-choice questions (MCQs). In the present study, we explored the relationship between perceived MCQ…
Descriptors: Test Items, Multiple Choice Tests, Standards, Difficulty Level
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Tsigilis, Nikolaos; Krousorati, Katerina; Gregoriadis, Athanasios; Grammatikopoulos, Vasilis – Educational Measurement: Issues and Practice, 2023
The Preschool Early Numeracy Skills Test--Brief Version (PENS-B) is a measure of early numeracy skills, developed and mainly used in the United States. The purpose of this study was to examine the factorial validity and measurement invariance across gender of PENS-B in the Greek educational context. PENS-B was administered to 906 preschool…
Descriptors: Psychometrics, Preschool Education, Numeracy, Item Response Theory
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Terry A. Ackerman; Deborah L. Bandalos; Derek C. Briggs; Howard T. Everson; Andrew D. Ho; Susan M. Lottridge; Matthew J. Madison; Sandip Sinharay; Michael C. Rodriguez; Michael Russell; Alina A. Davier; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2024
This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational…
Descriptors: Educational Assessment, Competence, Skill Development, Communication Skills
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Barry, Carol L.; Jones, Andrew T.; Ibáñez, Beatriz; Grambau, Marni; Buyske, Jo – Educational Measurement: Issues and Practice, 2022
In response to the COVID-19 pandemic, the American Board of Surgery (ABS) shifted from in-person to remote administrations of the oral certifying exam (CE). Although the overall exam architecture remains the same, there are a number of differences in administration and staffing costs, exam content, security concerns, and the tools used to give the…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Verbal Tests
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Schweig, Jonathan D.; Yuan, Kun – Educational Measurement: Issues and Practice, 2019
School climate surveys are central to school improvement and principal evaluation policies. The quality of school climate has been linked both to student achievement and to teacher retention. Oftentimes, policymakers and practitioners are concerned with monitoring change in school climate quality in each academic year. Such applications assume…
Descriptors: Educational Environment, Surveys, Hierarchical Linear Modeling, Longitudinal Studies
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Leventhal, Brian C.; Grabovsky, Irina – Educational Measurement: Issues and Practice, 2020
Standard setting is arguably one of the most subjective techniques in test development and psychometrics. The decisions when scores are compared to standards, however, are arguably the most consequential outcomes of testing. Providing licensure to practice in a profession has high stake consequences for the public. Denying graduation or forcing…
Descriptors: Standard Setting (Scoring), Weighted Scores, Test Construction, Psychometrics
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Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
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Joo, Seang-Hwane; Khorramdel, Lale; Yamamoto, Kentaro; Shin, Hyo Jeong; Robin, Frederic – Educational Measurement: Issues and Practice, 2021
In Programme for International Student Assessment (PISA), item response theory (IRT) scaling is used to examine the psychometric properties of items and scales and to provide comparable test scores across participating countries and over time. To balance the comparability of IRT item parameter estimations across countries with the best possible…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
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Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
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Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
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Zieger, Laura; Sims, Sam; Jerrim, John – Educational Measurement: Issues and Practice, 2019
There is much interest in comparing latent traits, such as teacher job satisfaction, in large international surveys. However, different countries respond to questionnaires in different languages and interpret the questions through different cultural lenses, raising doubts about the psychometric equivalence of the measurements. Making valid…
Descriptors: Foreign Countries, Comparative Education, Teacher Attitudes, Job Satisfaction
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Russell, Mike; Ludlow, Larry; O'Dwyer, Laura – Educational Measurement: Issues and Practice, 2019
The field of educational measurement has evolved considerably since the first doctoral programs were established. In response, programs have typically tacked on courses that address newly developed theories, methods, tools, and techniques. As our review of current programs evidences, this approach produces artificial distinctions among topics and…
Descriptors: Educational Testing, Specialists, Doctoral Programs, Program Evaluation
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