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Autor/inn/enWang, Wen-Chung; Chen, Hui-Fang; Jin, Kuan-Yu
TitelItem Response Theory Models for Wording Effects in Mixed-Format Scales
QuelleIn: Educational and Psychological Measurement, 75 (2015) 1, S.157-178 (22 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1644
DOI10.1177/0013164414528209
SchlagwörterItem Response Theory; Test Format; Language Usage; Test Items; Computation; Computer Software; International Programs; Testing Programs; Reading Attitudes; Student Attitudes; Scientific Attitudes; Mathematics; Beliefs; Foreign Countries; Grade 8; Hong Kong; United States; Program for International Student Assessment; Trends in International Mathematics and Science Study
AbstractMany scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to test the assumption of reverse coding and evaluate the magnitude of the wording effect. The parameters of the bi-factor IRT models can be estimated with existing computer programs. Two empirical examples from the Program for International Student Assessment and the Trends in International Mathematics and Science Study were given to demonstrate the advantages of the bi-factor approach over traditional ones. It was found that the wording effect in these two data sets was substantial and that ignoring the wording effect resulted in overestimated test reliability and biased person measures. (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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