R Noah Padgett, Matt Bradshaw, Ying Chen, Richard G Cowden, Sung Joon Jang, Eric S Kim, Koichiro Shiba, Byron R Johnson, Tyler J VanderWeele
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Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study.
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.