A multiple indicator, multiple cause method for representing social capital with an application to psychological distress
This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capit...
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| Published in | Journal of geographical systems Vol. 12; no. 1; pp. 1 - 23 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer-Verlag
01.03.2010
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1435-5930 1435-5949 |
| DOI | 10.1007/s10109-009-0097-5 |
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| Abstract | This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capital according to geographic context (e.g. level of area deprivation, geographic region, level of urbanity) and demographic group. Social capital is used as an explanatory factor for psychological distress using data from the 2006 Health Survey for England. A highly significant effect of social capital in reducing the chance of psychiatric caseness is obtained after controlling for other individual and geographic risk factors. Allowing for social capital has considerable effects on the impacts on psychiatric health of other risk factors. In particular, the impact of area deprivation category is much reduced. There is also evidence of significant differentiation in social capital between population categories and geographic contexts. |
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| AbstractList | This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capital according to geographic context (e.g. level of area deprivation, geographic region, level of urbanity) and demographic group. Social capital is used as an explanatory factor for psychological distress using data from the 2006 Health Survey for England. A highly significant effect of social capital in reducing the chance of psychiatric caseness is obtained after controlling for other individual and geographic risk factors. Allowing for social capital has considerable effects on the impacts on psychiatric health of other risk factors. In particular, the impact of area deprivation category is much reduced. This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capital according to geographic context (e.g. level of area deprivation, geographic region, level of urbanity) and demographic group. Social capital is used as an explanatory factor for psychological distress using data from the 2006 Health Survey for England. A highly significant effect of social capital in reducing the chance of psychiatric caseness is obtained after controlling for other individual and geographic risk factors. Allowing for social capital has considerable effects on the impacts on psychiatric health of other risk factors. In particular, the impact of area deprivation category is much reduced. There is also evidence of significant differentiation in social capital between population categories and geographic contexts. This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capital according to geographic context (e.g. level of area deprivation, geographic region, level of urbanity) and demographic group. Social capital is used as an explanatory factor for psychological distress using data from the 2006 Health Survey for England. A highly significant effect of social capital in reducing the chance of psychiatric caseness is obtained after controlling for other individual and geographic risk factors. Allowing for social capital has considerable effects on the impacts on psychiatric health of other risk factors. In particular, the impact of area deprivation category is much reduced. There is also evidence of significant differentiation in social capital between population categories and geographic contexts. Keywords Social capital * Structural equation * Psychological distress * Area deprivation * Bayesian JEL Classification C11 * C30 * I10 This paper describes a structural equation methodology for obtaining social capital scores for survey subjects from multiple indicators of social support, neighbourhood and trust perceptions, and memberships of organizations. It adjusts for variation that is likely to occur in levels of social capital according to geographic context (e.g. level of area deprivation, geographic region, level of urbanity) and demographic group. Social capital is used as an explanatory factor for psychological distress using data from the 2006 Health Survey for England. A highly significant effect of social capital in reducing the chance of psychiatric caseness is obtained after controlling for other individual and geographic risk factors. Allowing for social capital has considerable effects on the impacts on psychiatric health of other risk factors. In particular, the impact of area deprivation category is much reduced. There is also evidence of significant differentiation in social capital between population categories and geographic contexts. [PUBLICATION ABSTRACT] |
| Audience | Academic |
| Author | Congdon, Peter |
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| CitedBy_id | crossref_primary_10_1016_j_tbs_2023_100612 crossref_primary_10_1177_0013164418793490 crossref_primary_10_1080_14615517_2012_659991 |
| Cites_doi | 10.1016/S0277-9536(01)00214-3 10.2307/1390675 10.1016/j.socscimed.2004.11.013 10.1016/j.socscimed.2004.08.064 10.2307/2289776 10.1093/biostatistics/kxm049 10.1016/j.ypmed.2006.06.004 10.1111/1467-9868.00353 10.1016/j.genhosppsych.2005.07.003 10.1111/j.1538-4632.2008.00717.x 10.1016/j.socscimed.2003.08.013 10.1007/BF00116466 10.1111/1468-0009.00213 10.1080/13607860802343241 10.1093/heapol/17.1.106 10.1016/j.jclinepi.2006.10.005 10.1007/BF00143554 10.1002/hec.1242 10.1016/S1353-8292(02)00040-0 10.2307/2291445 10.1016/S1047-2797(01)00278-2 10.1023/A:1008929526011 10.1111/1467-9868.00090 10.2307/2578238 10.1111/j.1467-985X.2005.00361.x 10.1890/08-0836.1 10.1177/014662167700100306 10.1192/bjp.168.3.354 10.1007/BF02296193 10.1002/9780470024737 10.1136/jech.55.9.657 10.1080/01621459.1990.10476213 10.1093/oso/9780198504856.003.0006 10.1007/978-94-009-5564-6 10.1080/01621459.1997.10473598 10.4324/9781410610904 10.1093/sf/61.2.484 |
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| Title | A multiple indicator, multiple cause method for representing social capital with an application to psychological distress |
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