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Wind, Stefanie A. – Educational and Psychological Measurement, 2017
Molenaar extended Mokken's original probabilistic-nonparametric scaling models for use with polytomous data. These polytomous extensions of Mokken's original scaling procedure have facilitated the use of Mokken scale analysis as an approach to exploring fundamental measurement properties across a variety of domains in which polytomous ratings are…
Descriptors: Nonparametric Statistics, Scaling, Models, Item Response Theory
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Yang, Ji Seung; Hansen, Mark; Cai, Li – Educational and Psychological Measurement, 2012
Traditional estimators of item response theory scale scores ignore uncertainty carried over from the item calibration process, which can lead to incorrect estimates of the standard errors of measurement (SEMs). Here, the authors review a variety of approaches that have been applied to this problem and compare them on the basis of their statistical…
Descriptors: Item Response Theory, Scores, Statistical Analysis, Comparative Analysis
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Paulhus, Delroy L.; Dubois, Patrick J. – Educational and Psychological Measurement, 2014
The overclaiming technique is a novel assessment procedure that uses signal detection analysis to generate indices of knowledge accuracy (OC-accuracy) and self-enhancement (OC-bias). The technique has previously shown robustness over varied knowledge domains as well as low reactivity across administration contexts. Here we compared the OC-accuracy…
Descriptors: Educational Assessment, Knowledge Level, Accuracy, Cognitive Ability
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Crowley, Susan L.; And Others – Educational and Psychological Measurement, 1994
Dependability of the Children's Depression Inventory (CDI) was studied using both generalizability and classical test score analyses with a sample of 164 elementary school students. Results suggest that sources of error variance interact to decrease dependability of CDI scores. Depression in children might be better assessed through multiple…
Descriptors: Children, Clinical Diagnosis, Comparative Analysis, Depression (Psychology)