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<p>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.</p>

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Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月30日

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  • R. Noah Padgett,
  • Matt Bradshaw,
  • Ying Chen,
  • Richard G. Cowden,
  • Sung Joon Jang,
  • Eric S. Kim,
  • Koichiro Shiba,
  • Byron R. Johnson,
  • Tyler J. VanderWeele

摘要

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.