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Yang, Lihong; Reckase, Mark D. – Educational and Psychological Measurement, 2020
The present study extended the "p"-optimality method to the multistage computerized adaptive test (MST) context in developing optimal item pools to support different MST panel designs under different test configurations. Using the Rasch model, simulated optimal item pools were generated with and without practical constraints of exposure…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Reckase, Mark D. – ETS Research Report Series, 2017
A common interpretation of achievement test results is that they provide measures of achievement that are much like other measures we commonly use for height, weight, or the cost of goods. In a limited sense, such interpretations are correct, but some nuances of these interpretations have important implications for the use of achievement test…
Descriptors: Models, Achievement Tests, Test Results, Test Construction
Luo, Xin; Reckase, Mark D.; He, Wei – AERA Online Paper Repository, 2016
While dichotomous item dominates the application of computerized adaptive testing (CAT), polytomous item and set-based item hold promises for being incorporated in CAT. However, how to assemble a CAT containing mixed item formats is challenging. This study investigated: (1) how the mixed CAT works compared with the dichotomous-item-based CAT; (2)…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Adaptive Testing
He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing
Papanastasiou, Elena C.; Reckase, Mark D. – International Journal of Testing, 2007
Because of the increased popularity of computerized adaptive testing (CAT), many admissions tests, as well as certification and licensure examinations, have been transformed from their paper-and-pencil versions to computerized adaptive versions. A major difference between paper-and-pencil tests and CAT from an examinee's point of view is that in…
Descriptors: Simulation, Adaptive Testing, Computer Assisted Testing, Test Items
Reckase, Mark D. – 1988
The requirements for adaptive testing are reviewed, and the question of why implementation has taken so long is examined. The concept of a testing procedure that selects items to match the level of performance of an examinee during the administration of a test had to wait for the technology necessary to apply the idea. Current procedures were…
Descriptors: Adaptive Testing, Computer Assisted Testing, Latent Trait Theory, Test Items

McKinley, Robert L.; Reckase, Mark D. – AEDS Journal, 1980
Describes tailored testing (in which a computer selects appropriate items from an item bank while an examinee is taking a test) and shows it to be superior to paper-and-pencil tests in such areas as reliability, security, and appropriateness of items. (IRT)
Descriptors: Adaptive Testing, Computer Assisted Testing, Higher Education, Program Evaluation
Patience, Wayne M.; Reckase, Mark D. – 1978
The feasibility of implementing self-paced computerized tailored testing evaluation methods in an undergraduate measurement and evaluation course, and possible differences in achievement levels under a paced versus self-paced testing schedule were investigated. A maximum likelihood tailored testing procedure based on the simple logistic model had…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Computer Assisted Testing

Spray, Judith A.; Reckase, Mark D. – Journal of Educational and Behavioral Statistics, 1996
Two procedures for classifying examinees into categories, one based on the sequential probability ratio test (SPRT) and the other on sequential Bayes methodology, were compared to determine which required fewer items for classification. Results showed that the SPRT procedure requires fewer items to achieve the same accuracy level. (SLD)
Descriptors: Ability, Bayesian Statistics, Classification, Comparative Analysis
Rosso, Martin A.; Reckase, Mark D. – 1981
The overall purpose of this research was to compare a maximum likelihood based tailored testing procedure to a Bayesian tailored testing procedure. The results indicated that both tailored testing procedures produced equally reliable ability estimates. Also an analysis of test length indicated that reasonable ability estimates could be obtained…
Descriptors: Adaptive Testing, Bayesian Statistics, Comparative Analysis, Computer Assisted Testing
McKinley, Robert L.; Reckase, Mark D. – 1984
The purpose of this paper is to identify and discuss some of the problems presented by the use of computerized adaptive testing (CAT) in an instructional programs environment versus large scale testing applications, and to describe an actual implementation of CAT in an instructional programs setting. This particular application is in the…
Descriptors: Achievement Tests, Adaptive Testing, Adults, Computer Assisted Testing
McKinley, Robert L.; Reckase, Mark D. – 1983
A two-stage study was conducted to compare the ability estimates yielded by tailored testing procedures based on the one-parameter logistic (1PL) and three-parameter logistic (3PL) models. The first stage of the study employed real data, while the second stage employed simulated data. In the first stage, response data for 3,000 examinees were…
Descriptors: Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics), Item Banks

Reckase, Mark D. – 1981
This paper has shown the advantages of tailored testing over traditional methods, the need for latent trait theory in the application of tailored testing, and some of the results available to show the quality of estimates obtained by tailored testing procedures. Since the tailored testing procedures overcome many of the problems with traditional…
Descriptors: Achievement Tests, Adaptive Testing, Aptitude Tests, Computer Assisted Testing
Reckase, Mark D. – 1979
This paper describes two procedures for making binary classification decisions using tailored testing: the sequential probability ratio test (SPRT) and a Bayesian decision procedure. The first procedure described, the SPRT, was developed by Wald for quality control work. It has not been widely applied for testing applications because the…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Criterion Referenced Tests
Reckase, Mark D. – 1986
The current technology of computerized testing is discussed, and a few comments are made on how such technology might be used for assessing school-related skills as part of the National Assessment of Educational progress (NAEP). The critical feature of computerized assessment procedures is that the test items are presented in interactive fashion,…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Disabilities
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