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Autor/inSinharay, Sandip
TitelAssessment of Person Fit for Mixed-Format Tests
QuelleIn: Journal of Educational and Behavioral Statistics, 40 (2015) 4, S.343-365 (23 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1076-9986
DOI10.3102/1076998615589128
SchlagwörterTest Format; Goodness of Fit; Item Response Theory; Bayesian Statistics; Simulation; Computation; Prediction; Models; Equations (Mathematics); Methods; Statistical Distributions; Error of Measurement; Academic Achievement; Statistical Significance; Probability
AbstractPerson-fit assessment may help the researcher to obtain additional information regarding the answering behavior of persons. Although several researchers examined person fit, there is a lack of research on person-fit assessment for mixed-format tests. In this article, the lz statistic and the ?2 statistic, both of which have been used for tests with only dichotomous items or with only polytomous items, were modified for use with mixed-format tests. In a detailed simulation, the lz and ?2 statistics are found to be conservative under a (frequentist) asymptotic normal approximation. However, the use of the statistics along with the (Bayesian) posterior predictive model checking method leads to a larger power. The suggested approaches are applied to an operational data set. The approaches appear to be satisfactory tools for assessing person fit for mixed-format tests. (As Provided).
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
Update2020/1/01
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