| Title |
Constructing a Time-Invariant Measure of the Socio-economic Status of U.S. Census Tracts
|
|---|---|
| Published in |
Journal of Urban Health, December 2015
|
| DOI | 10.1007/s11524-015-9959-y |
| Pubmed ID | |
| Authors |
Jeremy N. Miles, Margaret M. Weden, Diana Lavery, José J. Escarce, Kathleen A. Cagney, Regina A. Shih |
| Abstract |
Contextual research on time and place requires a consistent measurement instrument for neighborhood conditions in order to make unbiased inferences about neighborhood change. We develop such a time-invariant measure of neighborhood socio-economic status (NSES) using exploratory and confirmatory factor analyses fit to census data at the tract level from the 1990 and 2000 U.S. Censuses and the 2008-2012 American Community Survey. A single factor model fit the data well at all three time periods, and factor loadings-but not indicator intercepts-could be constrained to equality over time without decrement to fit. After addressing remaining longitudinal measurement bias, we found that NSES increased from 1990 to 2000, and then-consistent with the timing of the "Great Recession"-declined in 2008-2012 to a level approaching that of 1990. Our approach for evaluating and adjusting for time-invariance is not only instructive for studies of NSES but also more generally for longitudinal studies in which the variable of interest is a latent construct. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 4 | 10% |
| Professor > Associate Professor | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 29% |
| Medicine and Dentistry | 6 | 14% |
| Unspecified | 3 | 7% |
| Mathematics | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2016.
All research outputs
#6,395,562
of 24,286,850 outputs
Outputs from Journal of Urban Health
#638
of 1,341 outputs
Outputs of similar age
#88,149
of 371,565 outputs
Outputs of similar age from Journal of Urban Health
#11
of 16 outputs
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