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The Standardized S- X 2 Statistic for Assessing Item Fit.

Zhuangzhuang HanSandip SinharayMatthew S JohnsonXiang Liu
Published in: Applied psychological measurement (2022)
The S- X 2 statistic (Orlando & Thissen, 2000) is popular among researchers and practitioners who are interested in the assessment of item fit. However, the statistic suffers from the Chernoff-Lehmann problem (Chernoff & Lehmann, 1954) and hence does not have a known asymptotic null distribution. This paper suggests a modified version of the S- X 2 statistic that is based on the modified Rao-Robson χ 2 statistic (Rao & Robson, 1974). A simulation study and a real data analyses demonstrate that the use of the modified statistic instead of the S- X 2 statistic would lead to fewer items being flagged for misfit.
Keyphrases
  • psychometric properties
  • primary care
  • machine learning
  • artificial intelligence