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
Rok vydání:	2009
Předmět:	Response model TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY Management of Technology and Innovation Strategy and Management Item response theory Statistics Econometrics General Decision Sciences Item fit Differential item functioning Mathematics Type I and type II errors
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
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff8992d5607113d2501cb96c2d989cbd https://doi.org/10.1177/1094428109350930 Zobrazit plný text záznamu