R Noah Padgett, Matt Bradshaw, Ying Chen, Richard G Cowden, Sung Joon Jang, Eric S Kim, Koichiro Shiba, Byron R Johnson, Tyler J VanderWeele
{"title":"Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study.","authors":"R Noah Padgett, Matt Bradshaw, Ying Chen, Richard G Cowden, Sung Joon Jang, Eric S Kim, Koichiro Shiba, Byron R Johnson, Tyler J VanderWeele","doi":"10.1186/s44263-025-00140-2","DOIUrl":null,"url":null,"abstract":"<p><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>","PeriodicalId":519903,"journal":{"name":"BMC global and public health","volume":"3 1","pages":"28"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042347/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC global and public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s44263-025-00140-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.