Testing Person Fit in Cognitive Diagnosis

Autor/inn/en	Liu, Ying; Douglas, Jeffrey A.; Henson, Robert A.
Titel	Testing Person Fit in Cognitive Diagnosis
Quelle	In: Applied Psychological Measurement, 33 (2009) 8, S.579-598 (20 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621609331960
Schlagwörter	Personality Theories; Response Style (Tests); Scores; Cognitive Tests; Statistical Analysis; Item Response Theory; Simulation; Language Tests + Suchen Sie Ihr Suchwort? Personality theory; Persönlichkeitstheorie; Antwortverhalten; Kognitiver Fähigkeitstest; Statistische Analyse; Item-Response-Theorie; Simulation program; Simulationsprogramm; Language test; Sprachtest
Abstract	In cognitive diagnosis, the test-taking behavior of some examinees may be idiosyncratic so that their test scores may not reflect their true cognitive abilities as much as that of more typical examinees. Statistical tests are developed to recognize the following: (a) nonmasters of the required attributes who correctly answer the item (spuriously high scores) and (b) masters of the attributes who fail to correctly answer the item (spuriously low scores). For a person, nonzero probability of aberrant behavior is tested as the alternative hypothesis, against normal behavior as the null hypothesis. The two generalized likelihood ratio test statistics used, with the null hypothesis parameter on the boundary of the parameter space in each, have asymptotic distributions of a 50:50 mixture of a chi-square distribution with one degree of freedom and a degenerate distribution that is a constant of 0 under the null hypothesis. Simulation results, primarily based on the DINA model (deterministic inputs, noisy "AND" gate), are used to investigate the following: (a) how accurately the statistical tests identify normal/aberrant behaviors, (b) how the power of the tests depends on the length of the cognitive exam and the degree of the inclination toward aberrance, and (c) how sensitive the tests are to inaccurate estimation of model parameters. (Contains 3 figures, 6 tables, and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10