Cornell Retirement and Well Being Study, 1994-1999
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Cornell Retirement and Well Being Study, 1994-1999
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Identifier |
https://doi.org/10.7910/DVN/H3AWTH
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Creator |
Moen, Phyllis
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Publisher |
Harvard Dataverse
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Description |
The purpose of this longitudinal study was to explore pathways in and out of paid work and unpaid community service, as well as the implications of different trajectories for well-being in later life. The study investigated the transition to and life during retirement by following both male and female older workers and retirees over a five-year period. Participants were older workers or retirees from six large organizational settings in upstate New York. The original sample, interviewed in 1994-1995, was comprised of 304 older workers and 458 retirees who were ages 50-72 at the time they were interviewed. In 1996-1997, 94% of wave I (n=712) completed the wave II interview. The final wave included 664 participants, and in total, 654 respondents participated in all three waves of data collection. Of these "long-term participants," there were approximately equal numbers of men and women (326 and 328 respectively). The study consisted of three waves of data collection completed approximately two years apart beginning in 1994 and ending in 1999. The first and second waves of data collection included in-person interviews consisting of structured interview schedules, self-administered questionnaires, and extensive life history reviews. The third wave of data was collected via telephone interviews. When possible, spouses were administered questionnaires as well. Data were collected on a range of topics that permit investigation into the implications of retirement and post-retirement work for general well-being. The Murray Research Archive holds numeric file data from all three waves of data collection. Follow-up is allowed with the restriction that any contacts of the participants must be made through the contributor. |
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Subject |
Social Sciences
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Type |
longitudinal
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