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Dubravka Svetina Valdivia; Shenghai Dai – Journal of Experimental Education, 2024
Applications of polytomous IRT models in applied fields (e.g., health, education, psychology) are abound. However, little is known about the impact of the number of categories and sample size requirements for precise parameter recovery. In a simulation study, we investigated the impact of the number of response categories and required sample size…
Descriptors: Item Response Theory, Sample Size, Models, Classification
Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
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Liu, Ren; Huggins-Manley, Anne Corinne; Bradshaw, Laine – Educational and Psychological Measurement, 2017
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a…
Descriptors: Matrices, Classification, Accuracy, Diagnostic Tests
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Mark L. Davison; David J. Weiss; Ozge Ersan; Joseph N. DeWeese; Gina Biancarosa; Patrick C. Kennedy – Grantee Submission, 2021
MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…
Descriptors: Reading Tests, Computer Assisted Testing, Reading Comprehension, Elementary School Students
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Gnambs, Timo; Batinic, Bernad – Educational and Psychological Measurement, 2011
Computer-adaptive classification tests focus on classifying respondents in different proficiency groups (e.g., for pass/fail decisions). To date, adaptive classification testing has been dominated by research on dichotomous response formats and classifications in two groups. This article extends this line of research to polytomous classification…
Descriptors: Test Length, Computer Assisted Testing, Classification, Test Items
Clements, Andrea D.; Rothenberg, Lori – Research in the Schools, 1996
Undergraduate psychology examinations from 48 schools were analyzed to determine the proportion of items at each level of Bloom's Taxonomy, item format, and test length. Analyses indicated significant relationships between item complexity and test length even when taking format into account. Use of higher items may be related to shorter tests,…
Descriptors: Classification, Difficulty Level, Educational Objectives, Higher Education
Reshetar, Rosemary A.; And Others – 1992
This study examined performance of a simulated computerized adaptive test that was designed to help direct the development of a medical recertification examination. The item pool consisted of 229 single-best-answer items from a random sample of 3,000 examinees, calibrated using the two-parameter logistic model. Examinees' responses were known. For…
Descriptors: Adaptive Testing, Classification, Computer Assisted Testing, Computer Simulation