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Efficient Corrections for Standardized Person-Fit Statistics

Author

Listed:
  • Kylie Gorney

    (Michigan State University)

  • Sandip Sinharay

    (Educational Testing Service)

  • Carol Eckerly

    (Educational Testing Service)

Abstract

Many popular person-fit statistics belong to the class of standardized person-fit statistics, T, and are assumed to have a standard normal null distribution. However, in practice, this assumption is incorrect since T is computed using (a) an estimated ability parameter and (b) a finite number of items. Snijders (Psychometrika 66(3):331–342, 2001) developed mean and variance corrections for T to account for the use of an estimated ability parameter. Bedrick (Psychometrika 62(2):191–199, 1997) and Molenaar and Hoijtink (Psychometrika 55(1):75–106, 1990) developed skewness corrections for T to account for the use of a finite number of items. In this paper, we combine these two lines of research and propose three new corrections for T that simultaneously account for the use of an estimated ability parameter and the use of a finite number of items. The new corrections are efficient in that they only require the analysis of the original data set and do not require the simulation or analysis of any additional data sets. We conducted a detailed simulation study and found that the new corrections are able to control the Type I error rate while also maintaining reasonable levels of power. A real data example is also included.

Suggested Citation

  • Kylie Gorney & Sandip Sinharay & Carol Eckerly, 2024. "Efficient Corrections for Standardized Person-Fit Statistics," Psychometrika, Springer;The Psychometric Society, vol. 89(2), pages 569-591, June.
  • Handle: RePEc:spr:psycho:v:89:y:2024:i:2:d:10.1007_s11336-024-09960-x
    DOI: 10.1007/s11336-024-09960-x
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    References listed on IDEAS

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    1. Kevin Carl P. Santos & Jimmy Torre & Matthias Davier, 2020. "Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 399-420, July.
    2. Matthias Davier & Ivo Molenaar, 2003. "A person-fit index for polytomous rasch models, latent class models, and their mixture generalizations," Psychometrika, Springer;The Psychometric Society, vol. 68(2), pages 213-228, June.
    3. Maxwell Hong & Lizhen Lin & Ying Cheng, 2021. "Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 464-488, June.
    4. Sandip Sinharay, 2016. "Asymptotically Correct Standardization of Person-Fit Statistics Beyond Dichotomous Items," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 992-1013, December.
    5. Ivo Molenaar & Herbert Hoijtink, 1990. "The many null distributions of person fit indices," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 75-106, March.
    6. Thomas Warm, 1989. "Weighted likelihood estimation of ability in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 54(3), pages 427-450, September.
    7. Tom Snijders, 2001. "Asymptotic null distribution of person fit statistics with estimated person parameter," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 331-342, September.
    8. Ying Cheng & Ke-Hai Yuan, 2010. "The Impact of Fallible Item Parameter Estimates on Latent Trait Recovery," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 280-291, June.
    9. Kylie Gorney & James A. Wollack & Sandip Sinharay & Carol Eckerly, 2023. "Using Item Scores and Distractors to Detect Item Compromise and Preknowledge," Journal of Educational and Behavioral Statistics, , vol. 48(5), pages 636-660, October.
    10. Kikumi Tatsuoka, 1984. "Caution indices based on item response theory," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 95-110, March.
    11. Edward Bedrick, 1997. "Approximating the conditional distribution of person FIT indexes for checking the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 62(2), pages 191-199, June.
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