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Peer reviewedAesche, Darryl W.; Parslow, Graham R. – Biochemical Education, 1988
Discusses the use of a bank of about 9,000 test items in a computer-assisted instructional program at Adelaide University (South Australia). Describes the program and outlines the steps in producing an instructional program. (TW)
Descriptors: Biochemistry, College Science, Computer Assisted Instruction, Computer Assisted Testing
Peer reviewedHarrison, David A. – Journal of Educational Statistics, 1986
Multidimensional item response data were created. The strength of a general factor, the number of common factors, the distribution of items loadingon common factors, and the number of items in simulated tests were manipulated. LOGIST effectively recovered both item and trait parameters in nearly all of the experimental conditions. (Author/JAZ)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Correlation
Ban, Jae-Chun; Hanson, Bradley A.; Yi, Qing; Harris, Deborah J. – 2002
The purpose of this study was to compare and evaluate three online pretest item calibration/scaling methods in terms of item parameter recovery when the item responses to the pretest items in the pool would be sparse. The three methods considered were the marginal maximum likelihood estimate with one EM cycle (OEM) method, the marginal maximum…
Descriptors: Adaptive Testing, Computer Assisted Testing, Data Analysis, Error of Measurement
Glas, C. A. W. – 2001
In a previous study (1998), how to evaluate whether adaptive testing data used for online calibration sufficiently fit the item response model used by C. Glas was studied. Three approaches were suggested, based on a Lagrange multiplier (LM) statistic, a Wald statistic, and a cumulative sum (CUMSUM) statistic respectively. For all these methods,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Error of Measurement, Estimation (Mathematics)
Peer reviewedLord, Frederic M. – Applied Psychological Measurement, 1977
A broad-range tailored test of verbal ability, appropriate at any level from fifth grade upwards, is briefly described. The test score places persons at all levels directly on the same score scale. (Author/RC)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Oriented Programs
Peer reviewedMills, Craig N.; Stocking, Martha L. – Applied Measurement in Education, 1996
Issues that must be addressed in the large-scale application of computerized adaptive testing are explored, including considerations of test design, scoring, test administration, item and item bank development, and other aspects of test construction. Possible solutions and areas in which additional work is needed are identified. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Higher Education
Peer reviewedVispoel, Walter P.; And Others – Journal of Educational Measurement, 1997
Efficiency, precision, and concurrent validity of results from adaptive and fixed-item music listening tests were studied using: (1) 2,200 simulated examinees; (2) 204 live examinees; and (3) 172 live examinees. Results support the usefulness of adaptive tests for measuring skills that require aurally produced items. (SLD)
Descriptors: Adaptive Testing, Adults, College Students, Comparative Analysis
Peer reviewedRoid, Gale H. – Educational Measurement: Issues and Practice, 1989
Some software packages currently available for item writing and item banking are reviewed. Eleven test-generation and three item-banking packages are listed. Users trained in item response theory can find a great deal of power in a desk-top system. (SLD)
Descriptors: Computer Assisted Testing, Computer Software Reviews, Computer Uses in Education, Elementary Secondary Education
Mason, Emanuel; Zollman, Alan – Focus on Learning Problems in Mathematics, 1992
This study explored the relationship between traditional item difficulty and cognitive complexity as measured by response time. Rural students (n=43) responded to computer-based tests of the Individualized Study by Technology General Mathematics Course developed by Alaska's Department of Education. Results indicated that mean response times were…
Descriptors: Cognitive Measurement, Cognitive Processes, Computer Assisted Instruction, Computer Assisted Testing
Peer reviewedDodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level
Peer reviewedGorsuch, Greta J.; Cox, Tom – TESL-EJ, 2000
Recounts the use of a computer-mediated proficiency test in an intensive international teaching assistant workshop. Both traditional raw score analyses and item response theory analyses done on the test data are described in detail. Indicated that the test was not suitable for making exemption and retention decisions with this particular group of…
Descriptors: Computer Assisted Testing, English (Second Language), Foreign Students, Language Proficiency
Peer reviewedClariana, Roy B. – International Journal of Instructional Media, 2004
This investigation considers the instructional effects of color as an over-arching context variable when learning from computer displays. The purpose of this investigation is to examine the posttest retrieval effects of color as a local, extra-item non-verbal lesson context variable for constructed-response versus multiple-choice posttest…
Descriptors: Instructional Effectiveness, Graduate Students, Color, Computer System Design
Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation
Wainer, Howard; And Others – 1991
When an examination consists, in whole or in part, of constructed response items, it is a common practice to allow the examinee to choose among a variety of questions. This procedure is usually adopted so that the limited number of items that can be completed in the allotted time does not unfairly affect the examinee. This results in the de facto…
Descriptors: Adaptive Testing, Chemistry, Comparative Analysis, Computer Assisted Testing
Bergstrom, Betty; And Others – 1994
Examinee response times from a computerized adaptive test taken by 204 examinees taking a certification examination were analyzed using a hierarchical linear model. Two equations were posed: a within-person model and a between-person model. Variance within persons was eight times greater than variance between persons. Several variables…
Descriptors: Adaptive Testing, Adults, Certification, Computer Assisted Testing

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