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Ip, Edward Hak-Sing; Chen, Shyh-Huei – Applied Psychological Measurement, 2012
The problem of fitting unidimensional item-response models to potentially multidimensional data has been extensively studied. The focus of this article is on response data that contains a major dimension of interest but that may also contain minor nuisance dimensions. Because fitting a unidimensional model to multidimensional data results in…
Descriptors: Measurement, Item Response Theory, Scores, Computation
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Culpepper, Steven Andrew – Applied Psychological Measurement, 2012
Measurement error significantly biases interaction effects and distorts researchers' inferences regarding interactive hypotheses. This article focuses on the single-indicator case and shows how to accurately estimate group slope differences by disattenuating interaction effects with errors-in-variables (EIV) regression. New analytic findings were…
Descriptors: Evidence, Test Length, Interaction, Regression (Statistics)
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Martineau, Joseph A. – Applied Psychological Measurement, 2007
Rudner (2001, 2005) described an expected classification accuracy index for determining the asymptotic expectation of accuracy of classifications of examinees into score categories. This article expands on that exposition by evaluating the index as it is likely to be used in practice (as a point estimate of classification accuracy), provides a…
Descriptors: Classification, Error of Measurement, Sample Size, Measurement
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Samejima, Fumiko – Applied Psychological Measurement, 1977
Several important implications in latent trait theory, with implications for individualized or tailored testing, are pointed out. A way of using the information function in tailored testing in connection with the standard error estimation of the ability level using maximum likelihood estimation is suggested. (Author/JKS)
Descriptors: Adaptive Testing, Career Development, Error of Measurement, Item Analysis