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Commentary: Explore Conditional Dependencies in Item Response Tree Data

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  • Minjeong Jeon

    (University of California, Los Angeles)

Abstract

Item response tree (IRTree) models are widely used in various applications for their ability to differentiate sets of sub-responses from polytomous item response data based on a pre-specified tree structure. Lyu et al. (Psychometrika) article highlighted that item slopes are often lower for later nodes than earlier nodes in IRTree applications. Lyu et al. argued that this phenomenon might signal the presence of item-specific factors across nodes. In this commentary, I present a different perspective that conditional dependencies in IRTree data could explain the phenomenon more generally. I illustrate my point with an empirical example, utilizing the latent space item response model that visualizes conditional dependencies in IRTree data. I conclude the commentary with a discussion on the potential of exploring conditional dependencies in IRTree data that goes beyond identifying the sources of conditional dependencies.

Suggested Citation

  • Minjeong Jeon, 2023. "Commentary: Explore Conditional Dependencies in Item Response Tree Data," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 803-808, September.
    • Handle: RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09915-8
    DOI: 10.1007/s11336-023-09915-8
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    References listed on IDEAS

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    1. Minjeong Jeon & Ick Hoon Jin & Michael Schweinberger & Samuel Baugh, 2021. "Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 378-403, June.
    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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    Cited by:

    1. Weicong Lyu & Daniel M. Bolt, 2023. "Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models”," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 1026-1031, September.

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