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Showing 1 to 15 of 23 results Save | Export
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Kylie Gorney; Mark D. Reckase – Journal of Educational Measurement, 2025
In computerized adaptive testing, item exposure control methods are often used to provide a more balanced usage of the item pool. Many of the most popular methods, including the restricted method (Revuelta and Ponsoda), use a single maximum exposure rate to limit the proportion of times that each item is administered. However, Barrada et al.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Pan, Yiqin; Livne, Oren; Wollack, James A.; Sinharay, Sandip – Educational Measurement: Issues and Practice, 2023
In computerized adaptive testing, overexposure of items in the bank is a serious problem and might result in item compromise. We develop an item selection algorithm that utilizes the entire bank well and reduces the overexposure of items. The algorithm is based on collaborative filtering and selects an item in two stages. In the first stage, a set…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
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Chen, Chia-Wen; Wang, Wen-Chung; Chiu, Ming Ming; Ro, Sage – Journal of Educational Measurement, 2020
The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2022
This paper presents improvements made to a computerized adaptive testing (CAT)-based version of the FCI (FCI-CAT) in regards to test security and test efficiency. First, we will discuss measures to enhance test security by controlling for item overexposure, decreasing the risk that respondents may (i) memorize the content of a pretest for use on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Risk Management
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Han, Kyung T.; Dimitrov, Dimiter M.; Al-Mashary, Faisal – Educational and Psychological Measurement, 2019
The "D"-scoring method for scoring and equating tests with binary items proposed by Dimitrov offers some of the advantages of item response theory, such as item-level difficulty information and score computation that reflects the item difficulties, while retaining the merits of classical test theory such as the simplicity of number…
Descriptors: Test Construction, Scoring, Test Items, Adaptive Testing
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Öztürk, Nagihan Boztunç – Universal Journal of Educational Research, 2019
In this study, how the length and characteristics of routing module in different panel designs affect measurement precision is examined. In the scope of the study, six different routing module length, nine different routing module characteristics, and two different panel design are handled. At the end of the study, the effects of conditions on…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Length, Test Format
Yamamoto, Kentaro; Shin, Hyo Jeong; Khorramdel, Lale – OECD Publishing, 2019
This paper describes and evaluates a multistage adaptive testing (MSAT) design that was implemented for the Programme for International Student Assessment (PISA) 2018 main survey for the major domain of Reading. Through a simulation study, recovery of item response theory model parameters and measurement precision were examined. The PISA 2018 MSAT…
Descriptors: Adaptive Testing, Test Construction, Achievement Tests, Foreign Countries
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Gawliczek, Piotr; Krykun, Viktoriia; Tarasenko, Nataliya; Tyshchenko, Maksym; Shapran, Oleksandr – Advanced Education, 2021
The article deals with the innovative, cutting age solution within the language testing realm, namely computer adaptive language testing (CALT) in accordance with the NATO Standardization Agreement 6001 (NATO STANAG 6001) requirements for further implementation in foreign language training of personnel of the Armed Forces of Ukraine (AF of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Language Tests, Second Language Instruction
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Kirsch, Irwin; Lennon, Mary Louise – Large-scale Assessments in Education, 2017
As the largest and most innovative international assessment of adults, PIAAC marks an inflection point in the evolution of large-scale comparative assessments. PIAAC grew from the foundation laid by surveys that preceded it, and introduced innovations that have shifted the way we conceive and implement large-scale assessments. As the first fully…
Descriptors: International Assessment, Adults, Measurement, Surveys
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Wang, Chun – Journal of Educational and Behavioral Statistics, 2014
Many latent traits in social sciences display a hierarchical structure, such as intelligence, cognitive ability, or personality. Usually a second-order factor is linearly related to a group of first-order factors (also called domain abilities in cognitive ability measures), and the first-order factors directly govern the actual item responses.…
Descriptors: Measurement, Accuracy, Item Response Theory, Adaptive Testing
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Wei, Hua; Lin, Jie – International Journal of Testing, 2015
Out-of-level testing refers to the practice of assessing a student with a test that is intended for students at a higher or lower grade level. Although the appropriateness of out-of-level testing for accountability purposes has been questioned by educators and policymakers, incorporating out-of-level items in formative assessments for accurate…
Descriptors: Test Items, Computer Assisted Testing, Adaptive Testing, Instructional Program Divisions
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Lee, HwaYoung; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
This study investigated item exposure control procedures under various combinations of item pool characteristics and ability distributions in computerized adaptive testing based on the partial credit model. Three variables were manipulated: item pool characteristics (120 items for each of easy, medium, and hard item pools), two ability…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Ability
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Moyer, Eric L.; Galindo, Jennifer L.; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
Managing test specifications--both multiple nonstatistical constraints and flexibly defined constraints--has become an important part of designing item selection procedures for computerized adaptive tests (CATs) in achievement testing. This study compared the effectiveness of three procedures: constrained CAT, flexible modified constrained CAT,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Analysis
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Yen, Yung-Chin; Ho, Rong-Guey; Laio, Wen-Wei; Chen, Li-Ju; Kuo, Ching-Chin – Applied Psychological Measurement, 2012
In a selected response test, aberrant responses such as careless errors and lucky guesses might cause error in ability estimation because these responses do not actually reflect the knowledge that examinees possess. In a computerized adaptive test (CAT), these aberrant responses could further cause serious estimation error due to dynamic item…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Response Style (Tests)
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Montpetit, Kathleen; Haley, Stephen; Bilodeau, Nathalie; Ni, Pengsheng; Tian, Feng; Gorton, George, III; Mulcahey, M. J. – Physical & Occupational Therapy in Pediatrics, 2011
This article reports on the content range and measurement precision of an upper extremity (UE) computer adaptive testing (CAT) platform of physical function in children with cerebral palsy. Upper extremity items representing skills of all abilities were administered to 305 parents. These responses were compared with two traditional standardized…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cerebral Palsy, Human Body
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