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Thompson, Bruce – 1996
Multivariate normality is required for some statistical tests. This paper explores the implications of violating the assumption of multivariate normality and illustrates a graphical procedure for evaluating multivariate normality. The logic for using the multivariate bootstrap is presented. The multivariate bootstrap can be used when distribution…
Descriptors: Computer Assisted Testing, Computer Software, Correlation, Statistical Distributions
Stocking, Martha L.; Lewis, Charles – 1995
The interest in the application of large-scale adaptive testing for secure tests has served to focus attention on issues that arise when theoretical advances are made operational. Many such issues in the application of large-scale adaptive testing for secure tests have more to do with changes in testing conditions than with testing paradigms. One…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
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
Peer reviewed Peer reviewed
Larson, Gerald E.; And Others – Intelligence, 1988
Correlations between elementary sensory tasks and IQ scores support Galtonian theories of intelligence, which emphasize speed of signal encoding and transmission in the nervous system. Research involving 73 male Navy recruits indicates that such theories are warranted only when elementary tasks are viewed separately. Task complexity in…
Descriptors: Computer Assisted Testing, Difficulty Level, Encoding (Psychology), Intelligence
Peer reviewed Peer reviewed
Thomas, Mardith B.; Day, Robert H. – CoED, 1985
Discusses an interactive testing and tutoring system for use within any discipline. The system (which consists of four interconnected computer programs) was developed at Iowa State University to test and tutor students in courses with large student to faculty ratios. (JN)
Descriptors: Computer Assisted Testing, Computer Software, Engineering Education, Higher Education
Orcutt, Venetia L. – 2002
The emergence of enhanced capabilities in computer technology coupled with the growing body of knowledge regarding item response theory has resulted in the expansion of computerized adaptive test (CAT) utilization in a variety of venues. Newcomers to the field need a more thorough understanding of item response theory (IRT) principles, their…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Test Construction
van der Linden, Wim J.; Chang, Hua-Hua – 2001
The methods of alpha-stratified adaptive testing and constrained adaptive testing with shadow tests are combined in this study. The advantages are twofold. First, application of the shadow test allows the researcher to implement any type of constraint on item selection in alpha-stratified adaptive testing. Second, the result yields a simple set of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
Wang, Shudong; Wang, Tianyou – 2002
The purpose of this Monte Carlo study was to evaluate the relative accuracy of T. Warm's weighted likelihood estimate (WLE) compared to maximum likelihood estimate (MLE), expected a posteriori estimate (EAP), and maximum a posteriori estimate (MAP), using the generalized partial credit model (GPCM) and graded response model (GRM) under a variety…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Veldkamp, Bernard P. – 2000
A mathematical programming approach is presented for computer adaptive testing (CAT) with many constraints on the item and test attributes. Because mathematical programming problems have to be solved while the examinee waits for the next item, a fast implementation of the Branch-and-Bound algorithm is needed for this approach. Eight modifications…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Test Construction
van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – 1999
Item scores that do not fit an assumed item response theory model may cause the latent trait value to be estimated inaccurately. Several person-fit statistics for detecting nonfitting score patterns for paper-and-pencil tests have been proposed. In the context of computerized adaptive tests (CAT), the use of person-fit analysis has hardly been…
Descriptors: Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics), Item Response Theory
Hsu, Tse-Chi; Carlson, Marthena – Educational Technology, 1973
Descriptors: Computer Assisted Testing, Computer Oriented Programs, Computers, Models
Peer reviewed Peer reviewed
Atkinson, Bill – Journal of Learning Disabilities, 1982
The author critiques the program design and educational aspects of the Shell Games, a program developed by Apple Computer, Inc., which can be used by the teacher to design objective tests for adaptation to specific assessment needs. (For related articles, see EC 142 959-962.) (Author)
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Microcomputers, Programing
Peer reviewed Peer reviewed
Parkhurst, Barbara G.; MacEachron, Marion P. – Journal of Communication Disorders, 1980
Two pilot studies investigated the accuracy of a computer parsing system for analyzing written language of deaf children. Results of the studies showed good agreement between human and machine raters. Journal availability: Elsevier North Holland, Inc., 52 Vanderbilt Avenue, New York, NY 10017. (Author)
Descriptors: Computer Assisted Testing, Deafness, Evaluation Methods, Student Evaluation
Olander, Charles P.; Merbitz, Charles T. – Educational Technology, 1980
Describes the development of a physiology course combining elements of instructional technology, computer assisted testing, and independent study at a college of nursing. (RAO)
Descriptors: Audiovisual Aids, Computer Assisted Testing, Independent Study, Nursing Education
Peer reviewed Peer reviewed
Derouza, Eros; Fleming, Matthew – Journal of Computing in Higher Education, 2003
Compared undergraduates who took online quizzes using Mallard with students taking traditional paper-and-pencil quizzes. Found that Mallard students performed significantly better on in-class exams than non-Mallard students. (EV)
Descriptors: Academic Achievement, Comparative Analysis, Computer Assisted Testing, Higher Education
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