Different approaches to measure ego-centered social support networks: a meta-analysis
Valentina Hlebec () and
Tina Kogovšek
Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 6, 3435-3455
Abstract:
Survey indicators of social networks usually measure a certain function of social networks, for example exchange of social support. Social support is a multidimensional construct. The most comprehensive definition distinguishes among sources of social support (social support networks), supportive acts and appraisal of given support. Generally, two main hypotheses can be given with regard to the role social support plays in quality of life of individuals: that social support is beneficial as such (main effects), or that social support is beneficial at occasions of stressful events (buffer effect). In this paper we are dealing with survey measurement of ego-centered social support networks. Three methods to social network measurement are compared: the name generator method, the role generator method and the event-related approach. In a meta-analysis of several studies done on convenient quota samples the effects of method, type of calculation, response format and limitation of support providers on network composition indicators are studied. Copyright Springer Science+Business Media B.V. 2013
Keywords: Social support; Social networks; Measurement; Name generator; Role generator; Event-related support (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-012-9731-2 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:47:y:2013:i:6:p:3435-3455
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-012-9731-2
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().