Validity analysis on merged and averaged data using within and between analysis: focus on effect of qualitative social capital on self-rated health.

ABSTRACT:

Objectives

With an increasing number of studies highlighting regional social capital (SC) as a determinant of health, many studies are using multi-level analysis with merged and averaged scores of community residents' survey responses calculated from community SC data. Sufficient examination is required to validate if the merged and averaged data can represent the community. Therefore, this study analyzes the validity of the selected indicators and their applicability in multi-level analysis.

Methods

Within and between analysis (WABA) was performed after creating community variables using merged and averaged data of community residents' responses from the 2013 Community Health Survey in Korea, using subjective self-rated health assessment as a dependent variable. Further ana

SUBMITTER: Shin SS 

PROVIDER: S-EPMC4914543 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature