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Adaptive EAP Estimation of Ability in a Microcomputer Environment

Bibliographic Data

ID23329375
AuthorsR Darrell Bock (University of Chicago), Robert J Mislevy (0000-0001-5016-0625, National Opinion Research Center)
Year1982
Volume6
Issue4
Pages431-444
Publication date1982-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueApplied Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0146-6216 • E-ISSN: 1552-3497
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/014662168200600405
OpenAlexW2070351096
LanguageEN
Citations received100
References cited6

Expected a posteriori (EAP) estimation of ability, based on numerical evaluation of the mean and variance of the posterior distribution, is shown to have unusually good properties for computerized adaptive testing. The calculations are not complex, precede noniteratively by simple summation of log likelihoods as items are added, and require only values of the response function obtainable from precalculated tables at a limited number of quadrature points. Simulation studies are reported showing the near equivalence of the posterior standard deviation and the standard error of measurement. When the adaptive testings terminate at a fixed posterior standard deviation criterion of .90 or better, the regression of the EAP estimator on true ability is virtually linear with slope equal to the reliability, and the measurement error homogeneous, in the range ± 2.5 standard deviations.

Algorithm · Equivalence (formal languages) · Estimator · Linear regression · Range (aeronautics) · Repeatability · Standard deviation · Standard error · Statistics · Advanced Statistical Methods and Models · Applied Mathematics · Mathematics · Optimal Experimental Design Methods · Psychometric Methodologies and Testing

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Unique citing works100
Citations per year3,03
Citation span1993 - 2026 (34)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 96

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