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

Author

Listed:
  • Padgett, R. Noah
  • Bradshaw, Matt
  • Chen, Ying
  • Cowden, Richard
  • Jang, Sung Joon

    (Baylor University)

  • Kim, Eric
  • Shiba, Koichiro
  • Johnson, Byron R.
  • VanderWeele, Tyler J.

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.

Suggested Citation

  • Padgett, R. Noah & Bradshaw, Matt & Chen, Ying & Cowden, Richard & Jang, Sung Joon & Kim, Eric & Shiba, Koichiro & Johnson, Byron R. & VanderWeele, Tyler J., 2025. "Analytic Methodology for Childhood Predictor Analyses for Wave 1 of the Global Flourishing Study," OSF Preprints nd3c9, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:nd3c9
    DOI: 10.31219/osf.io/nd3c9
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