Literaturnachweis - Detailanzeige
| Autor/in | Fu, Jianbin |
|---|---|
| Titel | Applications of Multidimensional Item Response Theory Models with Covariates to Longitudinal Test Data. Research Report. ETS RR-16-21 |
| Quelle | In: ETS Research Report Series, (2016), (14 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2330-8516 |
| Schlagwörter | Item Response Theory; Longitudinal Studies; Test Bias; Goodness of Fit; Mathematics Tests; Algebra; Data Analysis; Models; National Competency Tests; Grade 8; Correlation; National Assessment of Educational Progress |
| Abstract | The multidimensional item response theory (MIRT) models with covariates proposed by Haberman and implemented in the "mirt" program provide a flexible way to analyze data based on item response theory. In this report, we discuss applications of the MIRT models with covariates to longitudinal test data to measure skill differences at the individual and group levels. In particular, we describe the differential item functioning procedure to identify common items with item drift across test occasions, and model selection and evaluation based on model comparison, fit statistics, and skill estimates. A real dataset on algebra tests is used to demonstrate the applications. (As Provided). |
| Anmerkungen | Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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