Literaturnachweis - Detailanzeige
| Autor/inn/en | Lee, Soo; Suh, Youngsuk |
|---|---|
| Titel | Lord's Wald Test for Detecting Dif in Multidimensional Irt Models: A Comparison of Two Estimation Approaches |
| Quelle | In: Journal of Educational Measurement, 55 (2018) 2, S.328-353 (26 Seiten)Infoseite zur Zeitschrift
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0022-0655 |
| DOI | 10.1111/jedm.12178 |
| Schlagwörter | Item Response Theory; Sample Size; Models; Error of Measurement; Tests; Bayesian Statistics; Monte Carlo Methods; Simulation; Correlation; English; Language Usage; Data Analysis; Maximum Likelihood Statistics; Comparative Analysis; Markov Processes |
| Abstract | Lord's Wald test for differential item functioning (DIF) has not been studied extensively in the context of the multidimensional item response theory (MIRT) framework. In this article, Lord's Wald test was implemented using two estimation approaches, marginal maximum likelihood estimation and Bayesian Markov chain Monte Carlo estimation, to detect uniform and nonuniform DIF under MIRT models. The Type I error and power rates for Lord's Wald test were investigated under various simulation conditions, including different DIF types and magnitudes, different means and correlations of two ability parameters, and different sample sizes. Furthermore, English usage data were analyzed to illustrate the use of Lord's Wald test with the two estimation approaches. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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