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Sauder, Derek; DeMars, Christine – Applied Measurement in Education, 2020
We used simulation techniques to assess the item-level and familywise Type I error control and power of an IRT item-fit statistic, the "S-X"[superscript 2]. Previous research indicated that the "S-X"[superscript 2] has good Type I error control and decent power, but no previous research examined familywise Type I error control.…
Descriptors: Item Response Theory, Test Items, Sample Size, Test Length
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Tang, Xiaodan; Schultz, Matthew – Practical Assessment, Research & Evaluation, 2020
This study aims to examine the potential impacts on repeat examinees' performance by reusing simulation-based items in a high-stakes standardized assessment. We examined change patterns of item scores, ability estimate, score pattern change, response time and compared the performance of repeat examinees who have received repeat items and those who…
Descriptors: Test Items, Repetition, Simulation, Standardized Tests
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Wu, Haiyan; Liang, Xinya; Yürekli, Hülya; Becker, Betsy Jane; Paek, Insu; Binici, Salih – Journal of Psychoeducational Assessment, 2020
The demand for diagnostic feedback has triggered extensive research on cognitive diagnostic models (CDMs), such as the deterministic input, noisy output "and" gate (DINA) model. This study explored two Q-matrix specifications with the DINA model in a statewide large-scale mathematics assessment. The first Q-matrix was developed based on…
Descriptors: Mathematics Tests, Cognitive Measurement, Models, Test Items
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Eaton, Philip; Frank, Barrett; Willoughby, Shannon – Physical Review Physics Education Research, 2020
Items that are chained, or blocked, together appear on many of the conceptual assessments utilized for physics education research. However, when items are chained together there is the potential to introduce local dependence between those items, which would violate the assumption of item independence required by classical test theory,…
Descriptors: Science Instruction, Physics, Motion, Scientific Concepts
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Petscher, Yaacov; Compton, Donald L.; Steacy, Laura; Kinnon, Hannah – Annals of Dyslexia, 2020
Models of word reading that simultaneously take into account item-level and person-level fixed and random effects are broadly known as explanatory item response models (EIRM). Although many variants of the EIRM are available, the field has generally focused on the doubly explanatory model for modeling individual differences on item responses.…
Descriptors: Item Response Theory, Reading Skills, Individual Differences, Models
Crisp, Victoria; Shaw, Stuart – Research Matters, 2020
For assessment contexts where both a paper-based test and an on-screen assessment are available as alternatives, it is still common for the paper-based test to be prepared first with questions later transferred into an on-screen testing platform. One challenge with this is that some questions cannot be transferred. One solution might be for…
Descriptors: Computer Assisted Testing, Test Items, Test Construction, Mathematics Tests
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – Educational and Psychological Measurement, 2020
This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with traditional methods of short-form development. Metaheuristic algorithms can select items for short forms while…
Descriptors: Test Construction, Automation, Heuristics, Mathematics
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Walker, A. Adrienne; Wind, Stefanie A. – International Journal of Testing, 2020
Researchers apply individual person fit analyses as a procedure for checking model-data fit for individual test-takers. When a test-taker "misfits," it means that the inferences from their test score regarding what they know and can do may not be accurate. One problem in applying individual person fit procedures in practice is the…
Descriptors: Test Items, Scores, Achievement, Item Response Theory
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Selvi, Hüseyin – Higher Education Studies, 2020
This study aimed to examine the effect of using items from previous exams on students? pass-fail rates and on the psychometric properties of the tests and items. The study included data from 115 tests and 11,500 items used in the midterm and final exams of 3,910 students in the preclinical term at the Faculty of Medicine from 2014 to 2019. Data…
Descriptors: Answer Keys, Tests, Test Items, True Scores
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Koçak, Duygu – Pedagogical Research, 2020
Iteration number in Monte Carlo simulation method used commonly in educational research has an effect on Item Response Theory test and item parameters. The related studies show that the number of iteration is at the discretion of the researcher. Similarly, there is no specific number suggested for the number of iteration in the related literature.…
Descriptors: Monte Carlo Methods, Item Response Theory, Educational Research, Test Items
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Lewis, Daniel; Cook, Robert – Educational Measurement: Issues and Practice, 2020
In this paper we assert that the practice of principled assessment design renders traditional standard-setting methodology redundant at best and contradictory at worst. We describe the rationale for, and methodological details of, Embedded Standard Setting (ESS; previously, Engineered Cut Scores. Lewis, 2016), an approach to establish performance…
Descriptors: Standard Setting, Evaluation, Cutting Scores, Performance Based Assessment
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Furter, Robert T.; Dwyer, Andrew C. – Applied Measurement in Education, 2020
Maintaining equivalent performance standards across forms is a psychometric challenge exacerbated by small samples. In this study, the accuracy of two equating methods (Rasch anchored calibration and nominal weights mean) and four anchor item selection methods were investigated in the context of very small samples (N = 10). Overall, nominal…
Descriptors: Classification, Accuracy, Item Response Theory, Equated Scores
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Chen, Michelle Y.; Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2020
This study introduces a novel differential item functioning (DIF) method based on propensity score matching that tackles two challenges in analyzing performance assessment data, that is, continuous task scores and lack of a reliable internal variable as a proxy for ability or aptitude. The proposed DIF method consists of two main stages. First,…
Descriptors: Probability, Scores, Evaluation Methods, Test Items
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Lancaster, Thomas; Cotarlan, Codrin – International Journal for Educational Integrity, 2021
Students are using file sharing sites to breach academic integrity in light of the COVID-19 pandemic. This paper analyses the use of one such site, Chegg, which offers "homework help" and other academic services to students. Chegg is often presented as a file sharing site in the academic literature, but that is just one of many ways in…
Descriptors: Cheating, Contracts, Integrity, STEM Education
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Chung, Seungwon; Cai, Li – Journal of Educational and Behavioral Statistics, 2021
In the research reported here, we propose a new method for scale alignment and test scoring in the context of supporting students with disabilities. In educational assessment, students from these special populations take modified tests because of a demonstrated disability that requires more assistance than standard testing accommodation. Updated…
Descriptors: Students with Disabilities, Scoring, Achievement Tests, Test Items
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