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Item-Specific Factors in IRTree Models: When They Matter and When They Don’t

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  • Thorsten Meiser

    (University of Mannheim)

  • Fabiola Reiber

    (University of Mannheim)

Abstract

Lyu et al. (Psychometrika, 2023) demonstrated that item-specific factors can cause spurious effects on the structural parameters of IRTree models for multiple nested response processes per item. Here, we discuss some boundary conditions and argue that person selection effects on item parameters are not unique to item-specific factors and that the effects presented by Lyu et al. (Psychometrika, 2023) may not generalize to the family of IRTree models as a whole. We conclude with the recommendation that IRTree model specification should be guided by theoretical considerations, rather than driven by data, in order to avoid misinterpretations of parameter differences.

Suggested Citation

  • Thorsten Meiser & Fabiola Reiber, 2023. "Item-Specific Factors in IRTree Models: When They Matter and When They Don’t," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 739-744, September.
    • Handle: RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09916-7
    DOI: 10.1007/s11336-023-09916-7
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    References listed on IDEAS

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    1. De Boeck, Paul & Partchev, Ivailo, 2012. "IRTrees: Tree-Based Item Response Models of the GLMM Family," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(c01).
    2. Weicong Lyu & Daniel M. Bolt & Samuel Westby, 2023. "Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 745-775, September.
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    Keywords

    IRTree models; item-specific factors;

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