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Wise, Steven L.; And Others – 1991
According to item response theory (IRT), examinee ability estimation is independent of the particular set of test items administered from a calibrated pool. Although the most popular application of this feature of IRT is computerized adaptive (CA) testing, a recently proposed alternative is self-adapted (SA) testing, in which examinees choose the…
Descriptors: Ability Identification, Adaptive Testing, College Students, Comparative Testing
Rocklin, Thomas – 1989
In self-adapted testing, examinees are allowed to choose the difficulty of each item to be presented immediately before attempting it. Previous research has demonstrated that self-adapted testing leads to better performance than do fixed-order tests and is preferred by examinees. The present study examined the strategies that 29 college students…
Descriptors: Adaptive Testing, Attribution Theory, College Students, Computer Assisted Testing
Gershon, Richard C. – 1989
Examinees (N=1,233) at the Johnson O'Connor Research Foundation (JOCRF) were administered one of three test forms in which only item order differed. The study was undertaken to determine the validity of the assumption underlying item response theory (IRT) that there are fixed item parameters that can predict performance. The Rasch IRT model was…
Descriptors: Academic Ability, Adaptive Testing, Adolescents, Adults
Reckase, Mark D. – 1974
An application of the two-paramenter logistic (Rasch) model to tailored testing is presented. The model is discussed along with the maximum likelihood estimation of the ability parameters given the response pattern and easiness parameter estimates for the items. The technique has been programmed for use with an interactive computer terminal. Use…
Descriptors: Ability, Adaptive Testing, Computer Assisted Instruction, Difficulty Level
Peer reviewedDodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level
Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation
Wainer, Howard; And Others – 1991
When an examination consists, in whole or in part, of constructed response items, it is a common practice to allow the examinee to choose among a variety of questions. This procedure is usually adopted so that the limited number of items that can be completed in the allotted time does not unfairly affect the examinee. This results in the de facto…
Descriptors: Adaptive Testing, Chemistry, Comparative Analysis, Computer Assisted Testing
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
Stone, Gregory Ethan; Lunz, Mary E. – 1994
This paper explores the comparability of item calibrations for three types of items: (1) text only; (2) text with photographs; and (3) text plus graphics when items are presented on written tests and computerized adaptive tests. Data are from five different medical technology certification examinations administered nationwide in 1993. The Rasch…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Diagrams
Bejar, Issac I. – 1976
The concept of testing for partial knowledge is considered with the concept of tailored testing. Following the special usage of latent trait theory, the word valdity is used to mean the correlation of a test with the construct the test measures. The concept of a method factor in the test is also considered as a part of the validity. The possible…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Confidence Testing
Peer reviewedDe Ayala, R. J. – Educational and Psychological Measurement, 1992
Effects of dimensionality on ability estimation of an adaptive test were examined using generated data in Bayesian computerized adaptive testing (CAT) simulations. Generally, increasing interdimensional difficulty association produced a slight decrease in test length and an increase in accuracy of ability estimation as assessed by root mean square…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Roos, Linda L.; And Others – 1992
Computerized adaptive (CA) testing uses an algorithm to match examinee ability to item difficulty, while self-adapted (SA) testing allows the examinee to choose the difficulty of his or her items. Research comparing SA and CA testing has shown that examinees experience lower anxiety and improved performance with SA testing. All previous research…
Descriptors: Ability Identification, Adaptive Testing, Algebra, Algorithms
Kalisch, Stanley J. – 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. The model provides a procedure by which a minimum number of items of a test, consisting of a set…
Descriptors: Adaptive Testing, Branching, Computer Oriented Programs, Decision Making
Ito, Kyoko; Sykes, Robert C. – 1994
Responses to previously calibrated items administered in a computerized adaptive testing (CAT) mode may be used to recalibrate the items. This live-data simulation study investigated the possibility, and limitations, of on-line adaptive recalibration of precalibrated items. Responses to items of a Rasch-based paper-and-pencil licensure examination…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
Linacre, John M. – 1987
This paper describes a computer program in Microsoft BASIC which selects and administers test items from a small item bank. The level of the difficulty of the item selected depends on the test taker's previous response. This adaptive system is based on the Rasch model. The Rasch model uses a unit of measurement based on the logarithm of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Individual Testing

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