Analytic Methodology for Childhood Predictor Analyses for Wave 1 of the Global Flourishing Study

R. Noah Padgett, Matt Bradshaw, Ying Chen, Richard Cowden, Sung Joon Jang, Eric Kim, Koichiro Shiba, Byron R. Johnson and Tyler J. VanderWeele
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Sung Joon Jang: Baylor University

No nd3c9, OSF Preprints from Center for Open Science

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: childhood predictors regression analyses, accounting for the complex sampling design, missing data and imputation, sensitivity analysis for unmeasured confounding and meta-analysis. We provide a brief illustrative example of the childhood predictor analyses using the sense of mastery construct indicator from the GFS survey and conclude by outlining some strengths and limitations of the methodology employed.

Date: 2025-01-15
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:nd3c9

DOI: 10.31219/osf.io/nd3c9

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