Article ; Online: Assessing the interchangeability of linked scores in multivariable statistical analyses.
2024 Volume 33, Issue 4, Page(s) 1121–1131
Abstract: Purpose: Using the lens of classical test theory, we examine a linkage's generalizability with respect to use in multivariable analyses, including multiple regression and structural equation modeling, rather than comparison of established subpopulations ...
Abstract | Purpose: Using the lens of classical test theory, we examine a linkage's generalizability with respect to use in multivariable analyses, including multiple regression and structural equation modeling, rather than comparison of established subpopulations as is most common in the literature. Methods: To aid in this evaluation, we present a structural-equation-modeling based statistical method to examine the suitability of a given linkage for use cases involving continuous and categorical variables external to the linkage itself. Results: Using the PROMIS® Parent Proxy and Early Childhood Global Health measures, we show that, although a high correlation between the scores (here, r = .829) may imply a general suitability for linking, a more detailed investigation of content, measurement structure, and results of the proposed methodology reveal important differences between the measures which can compromise interchangeability in certain use cases. Conclusion: In addition to the statistical quality of a linkage, users of linking methodology should also assess the question of whether the linkage is appropriate to apply to particular use cases of interest. |
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MeSH term(s) | Humans ; Child, Preschool ; Quality of Life/psychology ; Psychometrics/methods ; Research Design ; Parents |
Language | English |
Publishing date | 2024-01-31 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 1161148-0 |
ISSN | 1573-2649 ; 0962-9343 |
ISSN (online) | 1573-2649 |
ISSN | 0962-9343 |
DOI | 10.1007/s11136-023-03592-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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