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Shin, Chingwei David; Chien, Yuehmei; Way, Walter Denny – Pearson, 2012
Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Test Content, Models
Gershon, Richard C.; Bergstrom, Betty – 1991
The relationship of several individual differences variables to Computer Adaptive Testing (CAT) as compared with traditional written tests are explored. Seven hundred sixty-five examinees took a Computer Adaptive Test and two fixed-length written tests. Each examinee also answered a computer literacy inventory, a satisfaction questionnaire, and a…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Literacy
De Champlain, Andre; Gessaroli, Marc E. – 1996
The use of indices and statistics based on nonlinear factor analysis (NLFA) has become increasingly popular as a means of assessing the dimensionality of an item response matrix. Although the indices and statistics currently available to the practitioner have been shown to be useful and accurate in many testing situations, few studies have…
Descriptors: Adaptive Testing, Chi Square, Computer Assisted Testing, Factor Analysis
Davey, Tim; Pommerich, Mary; Thompson, Tony D. – 1999
In computerized adaptive testing (CAT), new or experimental items are frequently administered alongside operational tests to gather the pretest data needed to replenish and replace item pools. The two basic strategies used to combine pretest and operational items are embedding and appending. Variable-length CATs are preferred because of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Measurement Techniques
Bergstrom, Betty A.; Gershon, Richard – 1992
The most useful method of item selection for making pass-fail decisions with a Computerized Adaptive Test (CAT) was studied. Medical technology students (n=86) took a computer adaptive test in which items were targeted to the ability of the examinee. The adaptive algorithm that selected items and estimated person measures used the Rasch model and…
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Computer Assisted Testing
Frick, Theodore W. – 1991
Expert systems can be used to aid decisionmaking. A computerized adaptive test is one kind of expert system, although not commonly recognized as such. A new approach, termed EXSPRT, was devised that combines expert systems reasoning and sequential probability ratio test stopping rules. Two versions of EXSPRT were developed, one with random…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Expert Systems
Mills, Craig N.; Simon, Robert – 1981
When criterion-referenced tests are used to assign examinees to states reflecting their performance level on a test, the better known methods for determining test length, which consider relationships among domain scores and errors of measurement, have their limitations. The purpose of this paper is to present a computer system named TESTLEN, which…
Descriptors: Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores, Error of Measurement
Bergstrom, Betty; And Others – 1994
Examinee response times from a computerized adaptive test taken by 204 examinees taking a certification examination were analyzed using a hierarchical linear model. Two equations were posed: a within-person model and a between-person model. Variance within persons was eight times greater than variance between persons. Several variables…
Descriptors: Adaptive Testing, Adults, Certification, Computer Assisted Testing
De Ayala, R. J. – 1992
One important and promising application of item response theory (IRT) is computerized adaptive testing (CAT). The implementation of a nominal response model-based CAT (NRCAT) was studied. Item pool characteristics for the NRCAT as well as the comparative performance of the NRCAT and a CAT based on the three-parameter logistic (3PL) model were…
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
Kim, Haeok; Plake, Barbara S. – 1993
A two-stage testing strategy is one method of adapting the difficulty of a test to an individual's ability level in an effort to achieve more precise measurement. A routing test provides an initial estimate of ability level, and a second-stage measurement test then evaluates the examinee further. The measurement accuracy and efficiency of item…
Descriptors: Ability, Adaptive Testing, Comparative Testing, Computer Assisted Testing
Eignor, Daniel R.; Hambleton, Ronald K. – 1979
The purpose of the investigation was to obtain some relationships among (1) test lengths, (2) shape of domain-score distributions, (3) advancement scores, and (4) several criterion-referenced test score reliability and validity indices. The study was conducted using computer simulation methods. The values of variables under study were set to be…
Descriptors: Comparative Analysis, Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores
Olsen, James B.; And Others – 1986
Student achievement test scores were compared and equated, using three different testing methods: paper-administered, computer-administered, and computerized adaptive testing. The tests were developed from third and sixth grade mathematics item banks of the California Assessment Program. The paper and the computer-administered tests were identical…
Descriptors: Achievement Tests, Adaptive Testing, Comparative Testing, Computer Assisted Testing
Lunz, Mary E.; And Others – 1990
This study explores the test-retest consistency of computer adaptive tests of varying lengths. The testing model used was designed as a mastery model to determine whether an examinee's estimated ability level is above or below a pre-established criterion expressed in the metric (logits) of the calibrated item pool scale. The Rasch model was used…
Descriptors: Ability Identification, Adaptive Testing, College Students, Comparative Testing

Bergstrom, Betty A.; And Others – Applied Measurement in Education, 1992
Effects of altering test difficulty on examinee ability measures and test length in a computer adaptive test were studied for 225 medical technology students in 3 test difficulty conditions. Results suggest that, with an item pool of sufficient depth and breadth, acceptable targeting to test difficulty is possible. (SLD)
Descriptors: Ability, Adaptive Testing, Change, College Students
Rizavi, Saba; Hariharan, Swaminathan – Online Submission, 2001
The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…
Descriptors: Guessing (Tests), Test Construction, Test Length, Computer Assisted Testing
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