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Potenza, Maria T.; Stocking, Martha L. – 1994
A multiple choice test item is identified as flawed if it has no single best answer. In spite of extensive quality control procedures, the administration of flawed items to test-takers is inevitable. Common strategies for dealing with flawed items in conventional testing, grounded in the principle of fairness to test-takers, are reexamined in the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Multiple Choice Tests, Scoring
Stocking, Martha L. – 1996
The interest in the application of large-scale computerized adaptive testing has served to focus attention on issues that arise when theoretical advances are made operational. Some of these issues stem less from changes in testing conditions and more from changes in testing paradigms. One such issue is that of the order in which questions are…
Descriptors: Adaptive Testing, Cognitive Processes, Comparative Analysis, Computer Assisted Testing
Bejar, Isaac I. – 1996
Generative response modeling is an approach to test development and response modeling that calls for the creation of items in such a way that the parameters of the items on some response model can be anticipated through knowledge of the psychological processes and knowledge required to respond to the item. That is, the computer would not merely…
Descriptors: Ability, Computer Assisted Testing, Cost Effectiveness, Estimation (Mathematics)
Glas, Cees A. W. – 1998
In computerized adaptive testing, updating parameter estimates using adaptive testing data is often called online calibration. In this paper, how to evaluate whether the adaptive testing model used for online calibration fits the item response model used sufficiently is studied. Three approaches are investigated, based on a Lagrange multiplier…
Descriptors: Adaptive Testing, Computer Assisted Testing, Foreign Countries, Item Response Theory
van der Linden, Wim J. – 1996
R. J. Owen (1975) proposed an approximate empirical Bayes procedure for item selection in adaptive testing. The procedure replaces the true posterior by a normal approximation with closed-form expressions for its first two moments. This approximation was necessary to minimize the computational complexity involved in a fully Bayesian approach, but…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computation
Stricker, Lawrence J.; Alderton, David L. – 1991
The usefulness of response latency data for biographical inventory items was assessed for improving the inventory's validity. Focus was on assessing whether weighting item scores on the basis of their latencies improves the predictive validity of the inventory's total score. A total of 120 items from the Armed Services Applicant Profile (ASAP)…
Descriptors: Adults, Biographical Inventories, Computer Assisted Testing, Males
Moreno, Kathleen E.; And Others – 1983
The relationship between selected subtests from the Armed Services Vocational Aptitude Battery (ASVAB) and corresponding subtests administered as computerized adaptive tests (CAT) was investigated using a sample of Marine recruits. Results showed that the CAT subtest scores correlated as well with initial ASVAB scores as did ASVAB retest scores,…
Descriptors: Adaptive Testing, Aptitude Tests, Computer Assisted Testing, Correlation
Adema, Jos J. – 1989
Item banks, large sets of test items, can be used for the construction of achievement tests. Mathematical programming models have been proposed for the selection of items from an item bank for a test. These models make automated test construction possible. However, to find an optimal or even an approximate optimal solution to a test construction…
Descriptors: Achievement Tests, Computer Assisted Testing, Computer Software, Item Banks
De Ayala, R. J.; And Others – 1990
Computerized adaptive testing procedures (CATPs) based on the graded response method (GRM) of F. Samejima (1969) and the partial credit model (PCM) of G. Masters (1982) were developed and compared. Both programs used maximum likelihood estimation of ability, and item selection was conducted on the basis of information. Two simulated data sets, one…
Descriptors: Ability Identification, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Boyd, Joseph L. – 1982
This report describes the sequence of activities that took place as the Examination Division of the New Jersey Department of Civil Service introduced a word processing system for a test item bank and for production of camera-ready test copy. The equipment selection, installation and orientation procedures are discussed. Keyboard and CRT terminals,…
Descriptors: Classification, Computer Assisted Testing, Item Banks, Occupational Tests
Samejima, Fumiko – 1981
This is a continuation of a previous study in which a new method of estimating the operating characteristics of discrete item responses based upon an Old Test, which has a non-constant test information function, was tested upon each of two subtests of the original Old Test, Subtests 1 and 2. The results turned out to be quite successful. In the…
Descriptors: Academic Ability, Computer Assisted Testing, Estimation (Mathematics), Latent Trait Theory
Blumberg, Phyllis; Felner, Joel – 1980
Using Guttman's facet design analysis, four parallel forms of a multiple-choice test were developed. A mapping sentence, logically representing the universe of content of a basic cardiology course, specified the facets of the course and the semantic structural units linking them. The facets were: cognitive processes, disease priority, specific…
Descriptors: Computer Assisted Testing, Course Content, Higher Education, Item Analysis
Peer reviewedvan der Linden, Wim J., Ed. – Applied Psychological Measurement, 1986
New theory and practice in testing is replacing the standard test by the test item bank and classical test theory by item response theory. Eight papers and a commentary are presented in this special issue concerning test item banking. (SLD)
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Computer Assisted Testing
Wang, Xiang-Bo; Harris, Vincent; Roussos, Louis – 2002
Multidimensionality is known to affect the accuracy of item parameter and ability estimations, which subsequently influences the computation of item characteristic curves (ICCs) and true scores. By judiciously combining sections of a Law School Admission Test (LSAT), 11 sections of varying degrees of uni- and multidimensional structures are used…
Descriptors: Ability, College Entrance Examinations, Computer Assisted Testing, Estimation (Mathematics)
Martinez, Michael E.; And Others – 1990
Large-scale testing is dominated by the multiple-choice question format. Widespread use of the format is due, in part, to the ease with which multiple-choice items can be scored automatically. This paper examines automatic scoring procedures for an alternative item type: figural response. Figural response items call for the completion or…
Descriptors: Automation, Computer Assisted Testing, Educational Technology, Multiple Choice Tests


