| Literature DB >> 30786817 |
Yung Soo Lee1, Michelle Putnam2, Nancy Morrow-Howell3, Megumi Inoue4, Jennifer C Greenfield5, Huajuan Chen6.
Abstract
This study explores the potential to consolidate a broad range of activity items to create more manageable measures that could be used in statistical modeling of multi-activity engagement. We utilized three datasets in the United States: Panel Study of Income Dynamics, Health and Retirement Study, and Midlife in the United States. After identifying activity items, exploratory and confirmatory factor analysis were used to empirically explore composite activity measures. Findings suggest that discrete activity items can be consolidated into activity domains; however, activity domains differ across datasets depending on availability of activity items. Implications for research and practice are further discussed.Entities:
Keywords: Activity in later life; HRS; MIDUS; PSID; older adults
Year: 2019 PMID: 30786817 PMCID: PMC6703977 DOI: 10.1080/01634372.2019.1582123
Source DB: PubMed Journal: J Gerontol Soc Work ISSN: 0163-4372