NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers3
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 91 to 105 of 120 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Shu-Ying; Ankenman, Robert D. – Journal of Educational Measurement, 2004
The purpose of this study was to compare the effects of four item selection rules--(1) Fisher information (F), (2) Fisher information with a posterior distribution (FP), (3) Kullback-Leibler information with a posterior distribution (KP), and (4) completely randomized item selection (RN)--with respect to the precision of trait estimation and the…
Descriptors: Test Length, Adaptive Testing, Computer Assisted Testing, Test Selection
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
Peer reviewed Peer reviewed
Direct linkDirect link
Wise, Steven L. – Applied Measurement in Education, 2006
In low-stakes testing, the motivation levels of examinees are often a matter of concern to test givers because a lack of examinee effort represents a direct threat to the validity of the test data. This study investigated the use of response time to assess the amount of examinee effort received by individual test items. In 2 studies, it was found…
Descriptors: Computer Assisted Testing, Motivation, Test Validity, Item Response Theory
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
Reckase, Mark D. – 1981
This report describes a study comparing the classification results obtained from a one-parameter and three-parameter logistic based tailored testing procedure used in conjunction with Wald's sequential probability ratio test (SPRT). Eighty-eight college students were classified into four grade categories using achievement test results obtained…
Descriptors: Adaptive Testing, Classification, Comparative Analysis, Computer Assisted Testing
Rudner, Lawrence M. – 1978
Tailored testing provides the same information as group-administered standardized tests, but can do so using fewer items because the items administered are selected for the ability of the individual student. Thus, tailored testing offers several advantages over traditional methods. Because individual tailored tests are not timed, anxiety is…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Peer reviewed Peer reviewed
De 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
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
Wainer, Howard; And Others – 1990
The initial development of a testlet-based algebra test was previously reported (Wainer and Lewis, 1990). This account provides the details of this excursion into the use of hierarchical testlets and validity-based scoring. A pretest of two 15-item hierarchical testlets was carried out in which examinees' performance on a 4-item subset of each…
Descriptors: Adaptive Testing, Algebra, Comparative Analysis, Computer Assisted Testing
Weiss, David J.; McBride, James R. – 1983
Monte Carlo simulation was used to investigate score bias and information characteristics of Owen's Bayesian adaptive testing strategy, and to examine possible causes of score bias. Factors investigated in three related studies included effects of item discrimination, effects of fixed vs. variable test length, and effects of an accurate prior…
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
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
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8