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Mitchell, James V., Jr. – 1984
Computer-based test interpretation (CBTI) is discussed in terms of its potential dangers to the public interest, problems with professional review of CBTI systems, and needed policies for these systems. Several problems with CBTI systems are outlined: (1) they may be nicely packaged, but it is difficult to establish their value; (2) they do not…
Descriptors: Computer Assisted Testing, Social Problems, Standards, Test Interpretation
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
Peer reviewed Peer reviewed
Eaves, Ronald C.; Smith, Earl – Journal of Experimental Education, 1986
The effects of examination format and previous experience with microcomputers on the test scores of 96 undergraduate students were investigated. Results indicated no significant differences in the scores obtained on the two types of test administration (microcomputer and traditional paper and pencil). Computer experience was not an important…
Descriptors: College Students, Computer Assisted Testing, Educational Media, Higher Education
Peer reviewed Peer reviewed
McBride, James R. – Educational Leadership, 1985
Describes a system in which questions tailored to the examinee's capabilities are administered by computer. Enumerates possible benefits of the system, reviews the "state of the art," and predicts potential applications of computerized adaptive testing. (MCG)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Program Design
Hambleton, Ronald K.; Sireci, Stephen G.; Swaminathan, H.; Xing, Dehui; Rizavi, Saba – 2003
The purposes of this research study were to develop and field test anchor-based judgmental methods for enabling test specialists to estimate item difficulty statistics. The study consisted of three related field tests. In each, researchers worked with six Law School Admission Test (LSAT) test specialists and one or more of the LSAT subtests. The…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Difficulty Level
van der Linden, Wim J. – 1997
In constrained adaptive testing, the numbers of constraints needed to control the content of the tests can easily run into the hundreds. Proper initialization of the algorithm becomes a requirement because the presence of large numbers of constraints slows down the convergence of the ability estimator. In this paper, an empirical initialization of…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
van der Linden, Wim J. – 1997
The case of adaptive testing under a multidimensional logistic response model is addressed. An adaptive algorithm is proposed that minimizes the (asymptotic) variance of the maximum-likelihood (ML) estimator of a linear combination of abilities of interest. The item selection criterion is a simple expression in closed form. In addition, it is…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2001
The multistage alpha-stratified computerized adaptive testing (CAT) design advocated a new philosophy of pool management and item selection using low discriminating items first. It has been demonstrated through simulation studies to be effective both in reducing item overlap rate and enhancing pool utilization with certain pool types. Based on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
van der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – 2003
This paper proposes an item selection algorithm that can be used to neutralize the effect of time limits in computer adaptive testing. The method is based on a statistical model for the response-time distributions of the test takers on the items in the pool that is updated each time a new item has been administered. Predictions from the model are…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Linear Programming
Pommerich, Mary; Segall, Daniel O. – 2003
Research discussed in this paper was conducted as part of an ongoing large-scale simulation study to evaluate methods of calibrating pretest items for computerized adaptive testing (CAT) pools. The simulation was designed to mimic the operational CAT Armed Services Vocational Aptitude Battery (ASVAB) testing program, in which a single pretest item…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Maximum Likelihood Statistics
van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – 2000
Item scores that do not fit an assumed item response theory model may cause the latent trait value to be estimated inaccurately. For computerized adaptive tests (CAT) with dichotomous items, several person-fit statistics for detecting nonfitting item score patterns have been proposed. Both for paper-and-pencil (P&P) test and CATs, detection of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Item Response Theory
Zhu, Daming; Fan, Meichu – 1999
The convention for selecting starting points (that is, initial items) on a computerized adaptive test (CAT) is to choose as starting points items of medium difficulty for all examinees. Selecting a starting point based on prior information about an individual's ability was first suggested many years ago, but has been believed unimportant provided…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
Bishop, Dan – InCider, 1983
Following a discussion of drill/practice and tutorial programing techniques (SE 533 144), this part focuses on techniques dealing with text problems. Various listings are included to demonstrate such methods as the READ/DATA approach in presenting questions to students. (JN)
Descriptors: Computer Assisted Testing, Computer Programs, Elementary Secondary Education, Instructional Materials
Peer reviewed Peer reviewed
Anderson, Jonathan – Journal of Research in Reading, 1983
Reports a number of modifications to the computer readability program STAR (Simple Tests Approach to Readability) designed to make it more useful. (FL)
Descriptors: Computer Assisted Testing, Content Analysis, Readability, Readability Formulas
Jelden, D. L. – AEDS Monitor, 1982
Describes a procedure for using the computer to assist in evaluating the progress of students on pretests, unit tests, posttests or a combination of tests. The use of computers to evaluate cognitive objectives of a course is examined. Twenty-four references are listed. (MER)
Descriptors: Cognitive Tests, Computer Assisted Testing, Criterion Referenced Tests, Flow Charts
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