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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
Veldkamp, Bernard P.; van der Linden, Wim J. – 1999
A method of item pool design is proposed that uses an optimal blueprint for the item pool calculated from the test specifications. The blueprint is a document that specifies the attributes that the items in the computerized adaptive test (CAT) pool should have. The blueprint can be a starting point for the item writing process, and it can be used…
Descriptors: Ability, Adaptive Testing, Classification, Computer Assisted Testing
Thompson, Tony D.; Davey, Tim – 1999
Methods to control the test construct and the efficiency of a computerized adaptive test (CAT) were studied in the context of a reading comprehension test given as a part of a battery of tests for college admission. A goal of the study was to create test scores that were interchangeable with those from a fixed form paper and pencil test. The first…
Descriptors: Adaptive Testing, College Entrance Examinations, Comparative Analysis, Computer Assisted Testing
Peer reviewedLeclercq, Dieudonne – European Journal of Education, 1980
Advancements in educational testing, especially in the computerized construction of tests from item banks, are outlined and explained. It is suggested that these methods open the door to more individualized and more formative type of testing. (MSE)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Oriented Programs, Formative Evaluation
Peer reviewedLuecht, Richard M.; Hirsch, Thomas M. – Applied Psychological Measurement, 1992
Derivations of several item selection algorithms for use in fitting test items to target information functions (IFs) are described. These algorithms, which use an average growth approximation of target IFs, were tested by generating six test forms and were found to provide reliable fit. (SLD)
Descriptors: Algorithms, Computer Assisted Testing, Equations (Mathematics), Goodness of Fit
Peer reviewedBoekkooi-Timminga, Ellen – Applied Psychological Measurement, 1990
A new test construction model based on the Rasch model is proposed. This model, the cluster-based method, considers groups of interchangeable items rather than individual items and uses integer programing. Results for six test construction problems indicate that the method produces accurate results in small amounts of time. (SLD)
Descriptors: Cluster Analysis, Computer Assisted Testing, Equations (Mathematics), Item Banks


