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Jarjoura, David – Psychometrika, 1983
The problem of predicting universe scores for samples of examinees based on their responses to samples of items is treated. The measurement model categorizes items according to the cells of a table of test specifications, and the linear function derived for minimizing error variance in prediction uses responses to these categories. (Author/JKS)
Descriptors: Error of Measurement, Generalizability Theory, Item Sampling, Prediction
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Yen, Wendy M. – Psychometrika, 1983
Tau-equivalence means that two tests produce equal true scores for individuals but that the distribution of errors for the tests could be different. This paper examines the effect of performing equipercentile equating techniques on tau-equivalent tests. (JKS)
Descriptors: Equated Scores, Latent Trait Theory, Psychometrics, Scores
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Andrich, David – Psychometrika, 1995
This book discusses adapting pencil-and-paper tests to computerized testing. Mention is made of models for graded responses to items and of possibilities beyond pencil-and-paper-tests, but the book is essentially about dichotomously scored test items. Contrasts between item response theory and classical test theory are described. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Scores
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Sijtsma, Klaas; Molenaar, Ivo W. – Psychometrika, 1987
Three methods for estimating reliability are studied within the context of nonparametric item response theory. Two were proposed originally by Mokken and a third is developed in this paper. Using a Monte Carlo strategy, these three estimation methods are compared with four "classical" lower bounds to reliability. (Author/JAZ)
Descriptors: Estimation (Mathematics), Latent Trait Theory, Measurement Techniques, Monte Carlo Methods