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Autor/inn/enRupp, Andre A.; Templin, Jonathan
TitelThe Effects of Q-Matrix Misspecification on Parameter Estimates and Classification Accuracy in the DINA Model
QuelleIn: Educational and Psychological Measurement, 68 (2008) 1, S.78-96 (19 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1644
DOI10.1177/0013164407301545
SchlagwörterProgram Effectiveness; Item Response Theory; Computation; Classification; Statistical Analysis; Models; Diagnostic Tests; Simulation; Matrices; Individual Characteristics
AbstractThis article reports a study that investigated the effects of Q-matrix misspecifications on parameter estimates and misclassification rates for the deterministic-input, noisy "and" gate (DINA) model, which is a restricted latent class model for multiple classifications of respondents that can be useful for cognitively motivated diagnostic assessment. In this study, a Q-matrix for an assessment mapping all 15 possible attribute patterns based on four independent attributes was misspecified by changing one "0" or "1" for each item. This was done in a way that ensured that certain attribute combinations were completely deleted from the Q-matrix, and certain incorrect dependency relationships between attributes were represented. Results showed clear effects that included an item-specific overestimation of slipping parameters when attributes were deleted from the Q-matrix, an item-specific overestimation of guessing parameters when attributes were added to the Q-matrix, and high misclassification rates for attribute classes that contained attribute combinations that were deleted from the Q-matrix. (Contains 1 figure and 5 tables.) (Author).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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