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Consolidated Measures of Activity among Older Adults: Results of a Three Data Set Comparison
Authors:Yung Soo Lee  Michelle Putnam  Nancy Morrow-Howell  Megumi Inoue  Jennifer C Greenfield  Huajuan Chen
Institution:1. Department of Social Welfare, Incheon National University, Incheon, Koreayslee@inu.ac.kr;3. School of Social Work, Simmons College, Boston, Massachusetts, USAORCID Iconhttps://orcid.org/0000-0003-1279-2925;4. Brown School of Social Work and Center for Aging, Washington University in St Louis, St Louis, Missouri, USA;5. Department of Social Work, George Mason University, Fairfax, Virginia, USA;6. Graduate School of Social Work, University of Denver, Denver, Colorado, USAORCID Iconhttps://orcid.org/0000-0002-5498-6333;7. Brown School of Social Work, Washington University in St Louis, St Louis, Missouri, USA
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.
Keywords:Activity in later life  older adults  HRS  MIDUS  PSID
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