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| Autor/inn/en | St-Onge, Christina; Valois, Pierre; Abdous, Belkacem; Germain, Stephane |
|---|---|
| Titel | A Monte Carlo Study of the Effect of Item Characteristic Curve Estimation on the Accuracy of Three Person-Fit Statistics |
| Quelle | In: Applied Psychological Measurement, 33 (2009) 4, S.307-324 (18 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0146-6216 |
| DOI | 10.1177/0146621608329503 |
| Schlagwörter | Sample Size; Monte Carlo Methods; Nonparametric Statistics; Item Response Theory; Comparative Analysis; Goodness of Fit; Regression (Statistics); Models |
| Abstract | To date, there have been no studies comparing parametric and nonparametric Item Characteristic Curve (ICC) estimation methods on the effectiveness of Person-Fit Statistics (PFS). The primary aim of this study was to determine if the use of ICCs estimated by nonparametric methods would increase the accuracy of item response theory-based PFS for small sample sizes. Using three recognized PFS ("l[subscript z]", "ECI2[subscript z]", and "ECI4[subscript z]"), four estimation methods were compared: two parametric methods (the two-parameter logistic model and three-parameter logistic model) and two nonparametric methods (Nadaraya-Watson's regression and the local logistic regression). Finally, matrices of 100- and 1,000-answer vectors were generated for this Monte Carlo study. For both large and small sample sizes, the accuracy of the PFS was greater when used with the parametric models. (Contains 4 tables and 1 note.) (As Provided). |
| Anmerkungen | SAGE 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 von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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