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Analyzing differences between parent- and self-report measures with a latent space approach

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  • Dongyoung Go
  • Minjeong Jeon
  • Saebyul Lee
  • Ick Hoon Jin
  • Hae-Jeong Park

Abstract

We explore potential cross-informant discrepancies between child- and parent-report measures with an example of the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR), parent- and self-report measures on children’s behavioral and emotional problems. We propose a new way of examining the parent- and child-report differences with an interaction map estimated using a Latent Space Item Response Model (LSIRM). The interaction map enables the investigation of the dependency between items, between respondents, and between items and respondents, which is not possible with the conventional approach. The LSIRM captures the differential positions of items and respondents in the latent spaces for CBCL and YSR and identifies the relationships between each respondent and item according to their dependent structures. The results suggest that the analysis of item response in the latent space using the LSIRM is beneficial in uncovering the differential structures embedded in the response data obtained from different perspectives in children and their parents. This study also argues that the differential hidden structures of children and parents’ responses should be taken together to evaluate children’s behavioral problems.

Suggested Citation

  • Dongyoung Go & Minjeong Jeon & Saebyul Lee & Ick Hoon Jin & Hae-Jeong Park, 2022. "Analyzing differences between parent- and self-report measures with a latent space approach," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-22, June.
    • Handle: RePEc:plo:pone00:0269376
    DOI: 10.1371/journal.pone.0269376
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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. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
    3. Daniel K. Sewell & Yuguo Chen, 2015. "Latent Space Models for Dynamic Networks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1646-1657, December.
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