Analytic Methodology for Demographic Variation Analyses for Wave 1 of the Global Flourishing Study
R. Noah Padgett, Matt Bradshaw, Ying Chen, Richard G. Cowden, Sung Joon Jang, Eric Kim, Koichiro Shiba, Byron R. Johnson, Tyler J. VanderWeele
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.