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Yan, Duanli; Lewis, Charles; Stocking, Martha – Journal of Educational and Behavioral Statistics, 2004
It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all the new and currently considered computer-based tests. In addition to developing new models, we also need to give attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized adaptive…
Descriptors: Nonparametric Statistics, Regression (Statistics), Adaptive Testing, Computer Assisted Testing
Olson, Allan – School Administrator, 2007
Educators are becoming more aware of the limitations of testing that simply measures student achievement at a single point in time, such as benchmark tests, locally constructed formative tests, conventional standardized tests, and state assessments used to determine adequate yearly progress under No Child Left Behind. Not surprisingly, school…
Descriptors: Federal Legislation, Resource Allocation, Educational Improvement, Standardized Tests
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van der Linden, Wim J.; Breithaupt, Krista; Chuah, Siang Chee; Zhang, Yanwei – Journal of Educational Measurement, 2007
A potential undesirable effect of multistage testing is differential speededness, which happens if some of the test takers run out of time because they receive subtests with items that are more time intensive than others. This article shows how a probabilistic response-time model can be used for estimating differences in time intensities and speed…
Descriptors: Adaptive Testing, Evaluation Methods, Test Items, Reaction Time
PEPNet 2, 2012
Beginning your college education means you'll be exploring a new place, making new friends, learning new things and setting your own priorities. You are going to face a lot of big changes in a short time. That's exciting--and challenging. The more prepared you are for college when you get there, the more ready you'll be to address these new…
Descriptors: Sign Language, Deafness, Hearing Impairments, Success
Krass, Iosif A. – 1998
In the process of item calibration for a computerized adaptive test (CAT), many well-established calibrating packages show weakness in the estimation of item parameters. This paper introduces an on-line calibration algorithm based on the convexity of likelihood functions. This package consists of: (1) an algorithm that estimates examinee ability…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
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Cliff, Norman – Psychometrika, 1977
Measures of consistency and completeness of order relationships derived from test data such as Guttman scales are proposed. The measures are generalized to apply to incomplete data such as data from tailored testing. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Item Analysis
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Cudeck, Robert A.; And Others – Educational and Psychological Measurement, 1977
TAILOR, a FORTRAN computer program for tailored testing, is described. The procedure for a joint ordering of persons and items with no pretesting as the basis for the tailored test is given, and a brief discussion of the computer program is included. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Test Construction
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McCormick, Douglas J.; Cliff, Norman – Educational and Psychological Measurement, 1977
An interactive computer program for tailored testing, called TAILOR, is presented. The program runs on the APL system. A cumulative file for each examinee is established and tests are then tailored to each examinee; extensive pretesting is not necessary. (JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Test Construction
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Hambleton, Ronald K., Ed.; van der Linden, Wim J., Ed. – Applied Psychological Measurement, 1982
Item response theory (IRT) is having a major impact on the field of testing. This special issue presents an introduction and seven papers concerning developments in IRT applications. Some important IRT research being conducted outside the United States is highlighted. (SLD)
Descriptors: Adaptive Testing, Equated Scores, Item Analysis, Latent Trait Theory
Zhang, Yanwei; Breithaupt, Krista; Tessema, Aster; Chuah, David – Online Submission, 2006
Two IRT-based procedures to estimate test reliability for a certification exam that used both adaptive (via a MST model) and non-adaptive design were considered in this study. Both procedures rely on calibrated item parameters to estimate error variance. In terms of score variance, one procedure (Method 1) uses the empirical ability distribution…
Descriptors: Individual Testing, Test Reliability, Programming, Error of Measurement
Kingsbury, G. Gage; Hauser, Carl – Northwest Evaluation Association, 2004
Among the changes in education called for under the No Child Left Behind act is the need for states to test students in a number of grades and subject areas. Scores from these tests are to be used for a variety of purposes, from identifying whether individual students are proficient, to helping determine whether schools are causing adequate growth…
Descriptors: Federal Legislation, Computer Assisted Testing, Adaptive Testing, Educational Assessment
Baker, Eva L. – 2003
This paper examines multiple measures of performance in school accountability systems from two perspectives: laterally (different indicators of different domains) and vertically (indicators that are at different levels of depth of the same domain). From these perspectives, organizational responsibility and instructional sensitivity are examined.…
Descriptors: Accountability, Adaptive Testing, Adjustment (to Environment), Evaluation Methods
Schnipke, Deborah L.; Reese, Lynda M. – 1999
Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test taker ability. This study incorporated testlets (bundles of items) into two-stage and multistage designs, and compared the precision of the ability estimates derived from these designs with those derived from a standard computerized adaptive test (CAT)…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Law Schools
Bowles, Ryan; Pommerich, Mary – 2001
Many arguments have been made against allowing examinees to review and change their answers after completing a computer adaptive test (CAT). These arguments include: (1) increased bias; (2) decreased precision; and (3) susceptibility of test-taking strategies. Results of simulations suggest that the strength of these arguments is reduced or…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Review (Reexamination)
Kim, Jong-Pil – 1999
This study was conducted to investigate the equivalence of scores from paper-and-pencil (P&P) tests and computerized tests (CTs) through meta-analysis of primary studies using both kinds of tests. For this synthesis, 51 primary studies were selected, resulting in 226 effect sizes. The first synthesis was a typical meta-analysis that treated…
Descriptors: Adaptive Testing, Computer Assisted Testing, Effect Size, Meta Analysis
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