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Reckase, Mark D. – 1975
This paper explores the effects of item choice on ability estimation when using a tailored testing procedure based on the Rasch simple logistic model. Most studies of the simple logistic model imply that ability estimates are totally independent of the items used, regardless of the testing procedure. This paper shows that the ability estimate is…
Descriptors: Ability, Achievement Tests, Adaptive Testing, Individual Differences
Larkin, Kevin C.; Weiss, David J. – 1974
Three pyramidal adaptive tests and a conventional peaked test were constructed and administered by computer to two groups of students enrolled in undergraduate psychology courses. Six methods of scoring pyramidal tests were evaluated with respect to score distributions, stability, and the degree of relationship among scoring methods and between…
Descriptors: Adaptive Testing, Aptitude Tests, College Students, Computer Assisted Testing
Reckase, Mark D. – 1974
An application of the two-paramenter logistic (Rasch) model to tailored testing is presented. The model is discussed along with the maximum likelihood estimation of the ability parameters given the response pattern and easiness parameter estimates for the items. The technique has been programmed for use with an interactive computer terminal. Use…
Descriptors: Ability, Adaptive Testing, Computer Assisted Instruction, Difficulty Level
Peer reviewed Peer reviewed
Kreitzberg, Charles B.; And Others – Computers and Education, 1978
Describes the rationale underlying computerized adaptive testing (CAT), discusses the psychometric and technical developments which make it practical, and reviews some previous work which has shaped the current state of the art. The possible advantages, constraints, and operational requirements, and possible areas of application are examined.…
Descriptors: Academic Ability, Adaptive Testing, Computer Managed Instruction, Cost Effectiveness
Peer reviewed Peer reviewed
Harrison, 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)
Bock, R. Darrell; Zimowski, Michele F. – National Center for Education Statistics, 2003
This report examines the potential of adaptive testing, two?-stage testing in particular, for improving the data quality of the National Assessment of Educational Progress (NAEP). Following a discussion of the rationale for adaptive testing in assessment and a review of previous studies of two-?stage testing, this report describes a 1993 Ohio…
Descriptors: National Competency Tests, Test Validity, Feasibility Studies, Educational Assessment
Peer reviewed Peer reviewed
Brennan, Robert L. – Journal of Educational Technology Systems, 1973
A review of four areas in which the computer has influenced the theory and practice of achievement testing: a) test scoring and item analysis, b) item sampling, c) item generation, and d) the sequencing of items resulting in various types of adaptive testing. Also, reference is made to the impact of computer assisted achievement testing upon the…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Instruction, Data Processing
Peer reviewed Peer reviewed
Lord, 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 reviewed Peer reviewed
Mills, 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 reviewed Peer reviewed
Vispoel, 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 reviewed Peer reviewed
Brown, James Dean – Language Testing, 1988
The reliability and validity of a cloze procedure used as an English-as-a-second-language (ESL) test in China were improved by applying traditional item analysis and selection techniques. The 'best' test items were chosen on the basis of item facility and discrimination indices, and were administered as a 'tailored cloze.' 29 references listed.…
Descriptors: Adaptive Testing, Cloze Procedure, English (Second Language), Foreign Countries
Peer reviewed Peer reviewed
Bergstrom, Betty A.; Lunz, Mary E. – Evaluation and the Health Professions, 1992
The level of confidence in pass/fail decisions obtained with computerized adaptive tests and paper-and-pencil tests was greater for 645 medical technology students when the computer adaptive test implemented a 90 percent confidence stopping rule than for paper-and-pencil tests of comparable length. (SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Confidence Testing
Peer reviewed Peer reviewed
Dodd, 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
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