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ERIC Number: EJ928805
Record Type: Journal
Publication Date: 2011-Aug
Pages: 9
Abstractor: As Provided
Reference Count: 11
ISSN: ISSN-0303-8300
An Ecological Regional Analysis of South Carolina
Young, Frank W.; Robinson, Kenneth
Social Indicators Research, v103 n1 p109-117 Aug 2011
This study of the counties of South Carolina introduces a limited purpose, modifiable technology that is designed to reproduce the rapid discovery strategy of the natural sciences. It uses factor analysis to identify types of communities and the threats they face, and evaluates their success in dealing with these by comparisons based on age-adjusted mortality rates. The factor analysis of mostly census indicators generated an Urbanization factor along with two measures of the interaction with the environment, Growth and Poverty. Growth was expected to predict mortality negatively while Poverty should predict positively. Regression analysis confirms both predictions but only for each race. That is, Growth predicted lower mortality, but only for African-Americans. Poverty predicted higher mortality, but only for whites. These and other puzzling findings are explored, illustrating the "rapid discovery" technology that is the central feature of this paper.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Carolina