How Representative Is the ACTIVE Sample? A Statistical Comparison of the ACTIVE Sample and the HRS Sample

TitleHow Representative Is the ACTIVE Sample? A Statistical Comparison of the ACTIVE Sample and the HRS Sample
Publication TypeJournal Article
Year of Publication2013
AuthorsPrindle, JJ, McArdle, JJ
JournalJournal of Aging and Health
Volume25
Issue8
Pagination85S-102S
KeywordsDemographics, Methodology
Abstract

Objective: This research is designed to examine demographic differences between the ACTIVE sample and the larger, nationally representative Health and Retirement Study (HRS) sample. Method: After describing some relevant demographics (age, education, sex, and race/ethnicity), we use three statistical methods to determine sample differenceslogistic regression modeling (LRM), decision tree analysis (DTA), and post-stratification and raking methods. When some differences are found, we create sample weights that other researchers can use to adjust these differences. Results: The ACTIVE sample is younger, more likely to be female, Black, and more highly educated than the HRS sample. Sample weights were created. Discussion: By using the resulting sample weights, all results of ACTIVE analyses can be said to be nationally representative based on HRS demographics.

Notes

Times Cited: 0 S

Endnote Keywords

Statistical Methods/Sample Weights/Nationally Representative Sample/Older-Adults/Post-Stratification

Endnote ID

69360

Citation Key7909