Title | How Representative Is the ACTIVE Sample? A Statistical Comparison of the ACTIVE Sample and the HRS Sample |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Prindle, JJ, McArdle, JJ |
Journal | Journal of Aging and Health |
Volume | 25 |
Issue | 8 |
Pagination | 85S-102S |
Keywords | Demographics, 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 Key | 7909 |