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Sahin, Alper; Ozbasi, Durmus – Eurasian Journal of Educational Research, 2017
Purpose: This study aims to reveal effects of content balancing and item selection method on ability estimation in computerized adaptive tests by comparing Fisher's maximum information (FMI) and likelihood weighted information (LWI) methods. Research Methods: Four groups of examinees (250, 500, 750, 1000) and a bank of 500 items with 10 different…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Test Content
Ting, M.-Y.; Kuo, B.-C. – Journal of Computer Assisted Learning, 2016
The purpose of this study was to investigate the effect of a calculus system that was designed using an adaptive dynamic assessment (DA) framework on performance in the "finding an area using an integral". In this study, adaptive testing and dynamic assessment were combined to provide different test items depending on students'…
Descriptors: Calculus, Alternative Assessment, Models, Test Items
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
Ho, Tsung-Han – ProQuest LLC, 2010
Computerized adaptive testing (CAT) provides a highly efficient alternative to the paper-and-pencil test. By selecting items that match examinees' ability levels, CAT not only can shorten test length and administration time but it can also increase measurement precision and reduce measurement error. In CAT, maximum information (MI) is the most…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Item Response Theory
Makransky, Guido; Glas, Cees A. W. – International Journal of Testing, 2013
Cognitive ability tests are widely used in organizations around the world because they have high predictive validity in selection contexts. Although these tests typically measure several subdomains, testing is usually carried out for a single subdomain at a time. This can be ineffective when the subdomains assessed are highly correlated. This…
Descriptors: Foreign Countries, Cognitive Ability, Adaptive Testing, Feedback (Response)
Haley, Stephen M.; Coster, Wendy J.; Dumas, Helene M.; Fragala-Pinkham, Maria A.; Kramer, Jessica; Ni, Pengsheng; Tian, Feng; Kao, Ying-Chia; Moed, Rich; Ludlow, Larry H. – Developmental Medicine & Child Neurology, 2011
Aim: The aims of the study were to: (1) build new item banks for a revised version of the Pediatric Evaluation of Disability Inventory (PEDI) with four content domains: daily activities, mobility, social/cognitive, and responsibility; and (2) use post-hoc simulations based on the combined normative and disability calibration samples to assess the…
Descriptors: Item Banks, Adaptive Testing, Parents, Correlation
Peer reviewedVispoel, Walter P.; And Others – Applied Measurement in Education, 1994
Vocabulary fixed-item (FIT), computerized-adaptive (CAT), and self-adapted (SAT) tests were compared with 121 college students. CAT was more precise and efficient than SAT, which was more precise and efficient than FIT. SAT also yielded higher ability estimates for individuals with lower verbal self-concepts. (SLD)
Descriptors: Ability, Adaptive Testing, College Students, Comparative Analysis
Vale, C. David; Weiss, David J. – 1975
A conventional vocabulary test and two forms of a stradaptive vocabulary test were administered by a time-shared computer system to undergraduate college students. The two stradaptive tests differed in that one counted question mark responses (i.e., omitted items) as incorrect and the other ignored items responded to with question marks.…
Descriptors: Ability, Ability Grouping, Adaptive Testing, Branching
Waters, Brian K. – 1975
This study empirically investigated the validity and utility of the stratified adaptive computerized testing model (stradaptive]developed by Weiss (1973). The model presents a tailored testing strategy based on Binet IQ measurement theory and Lord's (1972) modern test theory. Nationally normed School and College Ability Test Verbal analogy items…
Descriptors: Ability, Adaptive Testing, Branching, Comparative Analysis
Wang, Shudong; Wang, Tianyou – 2002
The purpose of this Monte Carlo study was to evaluate the relative accuracy of T. Warm's weighted likelihood estimate (WLE) compared to maximum likelihood estimate (MLE), expected a posteriori estimate (EAP), and maximum a posteriori estimate (MAP), using the generalized partial credit model (GPCM) and graded response model (GRM) under a variety…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
McKinley, Robert L.; Reckase, Mark D. – 1981
A study was conducted to compare tailored testing procedures based on a Bayesian ability estimation technique and on a maximum likelihood ability estimation technique. The Bayesian tailored testing procedure selected items so as to minimize the posterior variance of the ability estimate distribution, while the maximum likelihood tailored testing…
Descriptors: Academic Ability, Adaptive Testing, Bayesian Statistics, Comparative Analysis
Tang, K. Linda – 1996
The average Kullback-Keibler (K-L) information index (H. Chang and Z. Ying, in press) is a newly proposed statistic in Computerized Adaptive Testing (CAT) item selection based on the global information function. The objectives of this study were to improve understanding of the K-L index with various parameters and to compare the performance of the…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Thomasson, Gary L. – 1997
Score comparability is important to those who take tests and those who use them. One important concept related to test score comparability is that of "equity," which is defined as existing when examinees are indifferent as to which of two alternate forms of a test they would prefer to take. By their nature, computerized adaptive tests…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Penfield, Randall D. – Applied Measurement in Education, 2006
This study applied the maximum expected information (MEI) and the maximum posterior-weighted information (MPI) approaches of computer adaptive testing item selection to the case of a test using polytomous items following the partial credit model. The MEI and MPI approaches are described. A simulation study compared the efficiency of ability…
Descriptors: Bayesian Statistics, Adaptive Testing, Computer Assisted Testing, Test Items
Schnipke, Deborah L.; Reese, Lynda M. – 1997
Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and, based on their scores, they are routed to tests of different difficulty levels in subsequent stages. These designs provide some of the benefits of standard computerized adaptive testing…
Descriptors: Ability, Adaptive Testing, Algorithms, Comparative Analysis
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