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Decomposing spatial effects of state-level health outcomes: a methodological demonstration and re-analysis

2026-02-01Artigo de investigação Acesso embargado
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dc.contributor.authorGruda, Dritjon
dc.contributor.authorHanges, Paul
dc.contributor.authorMcCleskey, Jim A.
dc.date.accessioned2026-01-14T17:32:52Z
dc.date.available2026-01-14T17:32:52Z
dc.date.issued2026-02-01
dc.description.abstractWhile spatial autoregressive (SAR) models are increasingly used in population-level psychological studies, researchers often overlook the crucial step of parsing effects into direct, indirect and total impacts, a standard practice in spatial econometrics. In this paper, we demonstrate the necessity of this practice by re-analyzing Gruda et al.'s (2024) U.S. Dark-Triad and health dataset with heteroskedasticity-robust SAR models and full impact decomposition, revealing significant changes. The previously observed direct protective effect of state-level narcissism on hypertension mortality disappeared when accounting for interstate spillovers. Conversely, the association with lower cancer prevalence and depression strengthened. Several health-behaviour findings reversed direction, indicating naïve regressions conflated within- and between-state effects. Machiavellianism and psychopathy coefficients also shifted. These results demonstrate that spatial spillovers can dilute, negate or reverse local effects, cautioning against policy inferences based solely on direct estimates.eng
dc.identifier.citationGruda, D., Hanges, P., & McCleskey, J. A. (2026). Decomposing spatial effects of state-level health outcomes: a methodological demonstration and re-analysis. International Journal of Psychology, 61(1), Article e70152. https://doi.org/10.1002/ijop.70152
dc.identifier.doi10.1002/ijop.70152
dc.identifier.eid105025378026
dc.identifier.issn0020-7594
dc.identifier.other87714654-59a2-4ca1-b9f3-f675cc8b8db7
dc.identifier.pmid41427945
dc.identifier.urihttp://hdl.handle.net/10400.14/56518
dc.identifier.wos001644009400001
dc.language.isoeng
dc.peerreviewedyes
dc.rights.uriN/A
dc.subjectMethods
dc.subjectNarcissism
dc.subjectPublic health
dc.subjectSpatial regressions
dc.titleDecomposing spatial effects of state-level health outcomes: a methodological demonstration and re-analysiseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleInternational Journal of Psychology
oaire.citation.volume61
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

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