An Examination of Item Response Theory Item Fit Indices for the Graded Response Model
Autor: | Patrick C. Clark, Erin L. O'Brien, David M. LaHuis |
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Rok vydání: | 2009 |
Předmět: | |
Zdroj: | Organizational Research Methods. 14:10-23 |
ISSN: | 1552-7425 1094-4281 |
Popis: | The current study examined the Type I error rates and power of several item response theory (IRT) item fit indices used in conjunction with the graded response model (GRM). Specifically, S — χ2, χ2*, and adjusted χ 2 degrees of freedom ratios (χ2/dfs) were examined. Model misfit was introduced by manipulating item parameters and by using a different IRT model to generate item data. Results indicated lower than expected Type I error rates for S — χ2 and χ 2*. Adjusted χ2/dfs resulted in large Type I error rates when used with cross validation and very low Type I error rates when used without cross validation. χ2* and adjusted χ 2/dfs without cross validation were the most powerful overall. |
Databáze: | OpenAIRE |
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