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American Journal of Epidemiology Advance Access originally published online on February 28, 2007
American Journal of Epidemiology 2007 165(8):858-867; doi:10.1093/aje/kwm040
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American Journal of Epidemiology Copyright © 2007 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

PRACTICE OF EPIDEMIOLOGY

Assessing the Measurement Properties of Neighborhood Scales: From Psychometrics to Ecometrics

Mahasin S. Mujahid1, Ana V. Diez Roux1, Jeffrey D. Morenoff2 and Trivellore Raghunathan3

1 Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
2 Department of Sociology, College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
3 Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI

Correspondence to Dr. Ana V. Diez Roux, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1214 South University Avenue, 2nd Floor, Ann Arbor, MI 48104 (e-mail: adiezrou{at}umich.edu).

Received for publication March 15, 2006. Accepted for publication August 2, 2006.

Most studies examining the relation between residential environment and health have used census-derived measures of neighborhood socioeconomic position (SEP). There is a need to identify specific features of neighborhoods relevant to disease risk, but few measures of these features exist, and their measurement properties are understudied. In this paper, the authors 1) develop measures (scales) of neighborhood environment that are important in cardiovascular disease risk, 2) assess the psychometric and ecometric properties of these measures, and 3) examine individual- and neighborhood-level predictors of these measures. In 2004, data on neighborhood conditions were collected from a telephone survey of 5,988 residents at three US study sites (Baltimore, Maryland; Forsyth County, North Carolina; and New York, New York). Information collected covered seven dimensions of neighborhood environment (aesthetic quality, walking environment, availability of healthy foods, safety, violence, social cohesion, and activities with neighbors). Neighborhoods were defined as census tracts or census clusters. Cronbach's alpha coefficient ranged from 0.73 to 0.83, with test-retest reliabilities of 0.60–0.88. Intraneighborhood correlations were 0.28–0.51, and neighborhood reliabilities were 0.64–0.78 for census tracts for most scales. The neighborhood scales were strongly associated with neighborhood SEP but also provided information distinct from neighborhood SEP. These results illustrate a methodological approach for assessing the measurement properties of neighborhood-level constructs and show that these constructs can be measured reliably.

censuses; data collection; epidemiologic methods; psychometrics; residence characteristics; social class; social environment


Abbreviations: ICC, intraneighborhood correlation coefficient; SEP, socioeconomic position


Editor's note: An invited commentary on this article appears on page 868, and the authors' response is published on page 872.


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