Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study
R Noah Padgett1,2, Matt Bradshaw3, Ying Chen1,2
1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Abstract:
In this article, we describe the statistical and design methodology of the demographic variation analyses used as part of a coordinated set of manuscripts for wave 1 of the Global Flourishing Study (GFS). Aspects covered include the following: evaluating demographic variation, accounting for the complex sampling design, missing data and imputation, and meta-analysis. We provide a brief illustrative example of the demographic variation analyses using a measure of purpose in life from the GFS survey and conclude by outlining some strengths and limitations of the analytic and statistical methodology employed.
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