A Common Spatial Factor Analysis Model for Measured Neighborhood-Level Characteristics: The Multi-Ethnic Study of Atherosclerosis

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Citation

Nethery, Rachel C.; Warren, Joshua L.; Herring, Amy H.; Moore, Kari A. B.; Evenson, Kelly R.; & Diez-Roux, Ana V. (2015). A Common Spatial Factor Analysis Model for Measured Neighborhood-Level Characteristics: The Multi-Ethnic Study of Atherosclerosis. Health & Place, 36, 35-46. PMCID: PMC4679666

Abstract

The purpose of this study was to reduce the dimensionality of a set of neighborhood-level variables collected on participants in the Multi-Ethnic Study of Atherosclerosis (MESA) while appropriately accounting for the spatial structure of the data. A common spatial factor analysis model in the Bayesian setting was utilized in order to properly characterize dependencies in the data. Results suggest that use of the spatial factor model can result in more precise estimation of factor scores, improved insight into the spatial patterns in the data, and the ability to more accurately assess associations between the neighborhood environment and health outcomes.

URL

http://dx.doi.org/10.1016/j.healthplace.2015.08.009

Reference Type

Journal Article

Year Published

2015

Journal Title

Health & Place

Author(s)

Nethery, Rachel C.
Warren, Joshua L.
Herring, Amy H.
Moore, Kari A. B.
Evenson, Kelly R.
Diez-Roux, Ana V.

PMCID

PMC4679666