2023
DOI: 10.1016/j.jaclp.2022.12.004
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Interitem Psychometric Validation of the Stanford Integrated Assessment for Transplant Scale Among Thoracic Transplant Candidates

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Cited by 1 publication
(9 citation statements)
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“…[9] It also challenges the interpretation of internal consistency for the composite and domain scores, which requires domain unidimensionality. [27] Consistent with recent work, [14] our findings also demonstrate that the SIPAT may bias scores across groups. SIPAT did not demonstrate subgroup validity across insurance type, race/ethnicity, and education: evaluators responded differently to questions based on patient group, controlling for mean group differences.…”
Section: Discussionsupporting
confidence: 92%
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“…[9] It also challenges the interpretation of internal consistency for the composite and domain scores, which requires domain unidimensionality. [27] Consistent with recent work, [14] our findings also demonstrate that the SIPAT may bias scores across groups. SIPAT did not demonstrate subgroup validity across insurance type, race/ethnicity, and education: evaluators responded differently to questions based on patient group, controlling for mean group differences.…”
Section: Discussionsupporting
confidence: 92%
“…[28] For example, recent item-response theory work suggests reducing the number of response categories on some SIPAT questions may improve measurement accuracy across different levels of psychosocial risk. [14] Here, we found 2 pairs of questions were collinear and did not improve model fit: (a1/a2) knowledge of medical illness and transplant process, and (d16/d17) history of substance use and risk of relapse. Our analysis suggests that within each pair, each question provided the same degree of predictive information despite contributing equally to the total score.…”
Section: Discussionmentioning
confidence: 75%
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