ERIC Number: EJ864664
Record Type: Journal
Publication Date: 2009
Abstractor: As Provided
Reference Count: 29
Impact of Diagnosticity on the Adequacy of Models for Cognitive Diagnosis under a Linear Attribute Structure: A Simulation Study
de La Torre, Jimmy; Karelitz, Tzur M.
Journal of Educational Measurement, v46 n4 p450-469 Win 2009
Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure to make the IRM and CDM frameworks comparable and investigates how estimation accuracy is affected by test diagnosticity and the match between the true and fitted models. The study shows that comparable results can be obtained when highly diagnostic IRM data are retrofitted with CDM, and vice versa, retrofitting CDMs to IRM-based data in some conditions can result in considerable examinee misclassification, and model fit indices provide limited indication of the accuracy of item parameter estimation and attribute classification.
Descriptors: Simulation, Item Response Theory, Psychometrics, Evaluation Methods, Measurement, Diagnostic Tests, Evaluation Research, Testing Problems, Evaluation Problems, Cognitive Tests
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A