2022
DOI: 10.1007/s10869-022-09791-6
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Opening the Black Box of the Response Process to Personality Faking: An Application of Item Response Tree Models

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Cited by 4 publications
(12 citation statements)
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“…LaHuis et al (2019) noted, “We were not able to assess directly how well the model fits the data… We suspect indices of model ft will soon be developed for IR trees” (p. 1016). Most recently, Lee et al (2022) stated, “Unfortunately, this methodological issue has not been fully addressed until this moment, and thus, we were unable to test the overall model fit of IR‐tree models” (p. 7). We hope this methodological issue can be addressed in the near future, so researchers may be able to fully investigate the measurement invariance of the IRTree models.…”
Section: Discussionmentioning
confidence: 96%
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“…LaHuis et al (2019) noted, “We were not able to assess directly how well the model fits the data… We suspect indices of model ft will soon be developed for IR trees” (p. 1016). Most recently, Lee et al (2022) stated, “Unfortunately, this methodological issue has not been fully addressed until this moment, and thus, we were unable to test the overall model fit of IR‐tree models” (p. 7). We hope this methodological issue can be addressed in the near future, so researchers may be able to fully investigate the measurement invariance of the IRTree models.…”
Section: Discussionmentioning
confidence: 96%
“…Because the IRTree models are recent developments in the IRT literature that are still evolving, they still have limitations from the psychometric perspective. The IRTree model currently provides only the AIC and BIC values and does not provide overall model fit indices as in the traditional multiple‐group confirmatory factor analysis measurement invariance models (LaHuis et al, 2019; Lee et al, 2022). LaHuis et al (2019) noted, “We were not able to assess directly how well the model fits the data… We suspect indices of model ft will soon be developed for IR trees” (p. 1016).…”
Section: Discussionmentioning
confidence: 99%
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