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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
Jiang, Hai – 1999
The purpose of this paper is to describe the techniques used in establishing the concordance tables between the Test of English as a Foreign Language (TOEFL), paper and pencil (P&P), and computer-based testing (CBT) sections and total reported score scales. Listening, reading, and composite structure and essay scores plus a total score are…
Descriptors: Computer Assisted Testing, English (Second Language), Estimation (Mathematics), Scaling
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
Lau, C. Allen; Wang, Tianyou – 1998
The purposes of this study were to: (1) extend the sequential probability ratio testing (SPRT) procedure to polytomous item response theory (IRT) models in computerized classification testing (CCT); (2) compare polytomous items with dichotomous items using the SPRT procedure for their accuracy and efficiency; (3) study a direct approach in…
Descriptors: Computer Assisted Testing, Cutting Scores, Item Response Theory, Mastery Tests
Mislevy, Robert J. – Center for Research on Evaluation Standards and Student Testing CRESST, 2004
In this paper we provide a rationale and approach for articulating a conceptual framework and corresponding development resources to guide the design of science inquiry assessments. Important here is attention to how and why research on cognition and learning, advances in technological capability, and development of sophisticated methods and…
Descriptors: Science, Test Construction, Student Evaluation, Science Tests
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
Zatz, Joel L. – American Journal of Pharmaceutical Education, 1982
A method for computer grading pharmaceutical calculations exams in which students convert their answers into scientific notation and enter their solutions onto a mark sense form is described. A table is generated and then posted listing student identification numbers, exam grades, and which problems were missed. (Author/MLW)
Descriptors: Computation, Computer Assisted Testing, Computer Programs, Grading
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
Peer reviewed Peer reviewed
Schaefer, Edward; Marschall, Laurence A. – American Journal of Physics, 1980
Describes an easy-to-use set of computer programs for the generation of multiple-choice and essay examinations in an introductory astronomy course. Program enables the user to establish files of test questions and to rapidly assemble printed copies of examinations suitable for photocopying. (Author/GS)
Descriptors: Astronomy, College Science, Computer Assisted Testing, Computer Programs
Proctor, Andrew J. – Journal of Physical Education and Recreation, 1980
As computers become increasingly available to public schools, physical education teachers and coaches will have access to the many services and conveniences the computer offers. Physical education majors should be kept current with technology that affects their professional development. (CJ)
Descriptors: Computer Assisted Testing, Course Content, Higher Education, Measurement Equipment
Peer reviewed Peer reviewed
Roos, Linda L.; And Others – Educational and Psychological Measurement, 1996
This article describes Minnesota Computerized Adaptive Testing Language program code for using the MicroCAT 3.5 testing software to administer several types of self-adapted tests. Code is provided for: a basic self-adapted test; a self-adapted version of an adaptive mastery test; and a restricted self-adapted test. (Author/SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Programming
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