@mastersthesis {6104, title = {Residential Satisfaction, Psychological Well-Being, and Personality Traits: Effects on Relocation among Older Adults}, volume = {3665053}, year = {2014}, note = {Copyright - Copyright ProQuest, UMI Dissertations Publishing 2014 Last updated - 2014-12-29 First page - n/a}, month = {2014}, pages = {115}, school = {University of Kansas}, type = {Ph.D.}, address = {Lawrence, KS}, abstract = {The focus of this study is the moves made voluntarily in later life. Older adults who engage in voluntary late life relocation are more likely to be white, have better health, have higher socioeconomic status, and have retired from full-time employment. The amenity move, a type of voluntary late life move, is often made by older adults with the above characteristics to a place specifically for community features such as weather, activities, or housing characteristics. The environmental gerontology literature offers some theoretical insight into understanding how an older adult evaluates their environment and suggests that relocation is one possible outcome when an older adult is not satisfied with the environment. This research highlights a new theoretical model, which proposes how personal characteristics and preferences and environmental characteristics influence an individual{\textquoteright}s evaluation of the environment. The model postulates that a negative evaluation of the environment can lead to relocation. The current study attempts to understand part of the model by examining how personal characteristics such as demographic information, socioeconomic measures, measures of health, retirement status, and personality impact relocation and more specifically amenity relocation directly and indirectly through the appraisal of the environment (residential satisfaction and psychological well-being). The study utilizes the Health and Retirement Study datasets from 2006-2008 and 2008-2010 to test the model because of its psycho-social measures and questions related to relocation. The results indicate that personality and neighborhood social cohesion directly and indirectly influence the decision to engage in relocation and amenity relocation. Specifically, higher levels of openness to experience are directly predictive of relocation in general and amenity relocation. Conscientiousness, extraversion, agreeableness, and neuroticism also influence the decision to relocate through a mediated relationship with neighborhood social cohesion. The results show that when older adults consider relocation, the social aspects of the environment can be just as important as the environment{\textquoteright}s physical aspects. Governments and senior housing developers can utilize information from this study to improve communities and develop a better understanding of the relocating older adult.}, keywords = {Consumption and Savings, Demographics, Health Conditions and Status, Public Policy, Retirement Planning and Satisfaction}, url = {http://proxy.lib.umich.edu/login?url=http://search.proquest.com/docview/1637644192?accountid=14667http://mgetit.lib.umich.edu/?ctx_ver=Z39.88-2004\&ctx_enc=info:ofi/enc:UTF-8\&rfr_id=info:sid/ProQuest+Dissertations+\%26+Theses+A\%26I\&rft_val_fmt=info:ofi/fmt:}, author = {Smith, Erin Kate} } @article {7462, title = {Older adults{\textquoteright} expectations to move: do they predict actual community-based or nursing facility moves within 2 years?}, journal = {J Aging Health}, volume = {22}, year = {2010}, month = {2010 Oct}, pages = {1029-53}, abstract = {

OBJECTIVE: This study examined the relationship between older adults{\textquoteright} expectations to move and actual residential relocation in the community or to a nursing facility within 2 years.

METHOD: Two waves of data (2000, 2002) from the Health and Retirement Study were used to compare expectations with subsequent moves. Logistic regression techniques were used to analyze the association between decision outcomes and expectations to move, health and functioning, physical environment, informal supports, and formal services.

RESULTS: Findings indicated that expectations to move did predict community-based moves but did not predict moves to nursing facilities. Additional factors had significant effects but did not diminish relationships between expectations and actual moves.

DISCUSSION: Results support the residential decision process as a dynamic one based on the cumulative effect of factors from an ecological model. Findings will inform policy makers and practitioners as they work to support older adults{\textquoteright} preferences to remain living in their homes.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Aging, Community Health Services, Decision making, Female, Humans, Logistic Models, Male, Odds Ratio, Residence Characteristics, Skilled Nursing Facilities, Social Support, Statistics as Topic, Time Factors, Transients and Migrants}, issn = {1552-6887}, doi = {10.1177/0898264310368296}, author = {Julie F. Sergeant and David J Ekerdt and Chapin, Rosemary K} } @inbook {5166, title = {Workplace Norms for the Timing of Retirement}, booktitle = {Impact of Work on Older Adults}, year = {1998}, note = {ProCite field 8 : eds.}, pages = {101-23}, publisher = {Springer Publishing Co., Inc.}, organization = {Springer Publishing Co., Inc.}, address = {New York, NY}, abstract = {This paper explores and supports the view of individual retirement behavior being a course of action that is embedded in the structure of work. Results show that three-quarters of American workers aged 51-61 recognize that there is a {\textquoteright}usual age{\textquoteright} for retirement among their co-workers. Men seem somewhat more inclined to recognize this trend than women. These usual ages vary depending on occupation type and workplace circumstatnces, and they correspond to the age-scheduled incentives of workers{\textquoteright} pension plans. Usual age appears to be an upper limit on the range of workers{\textquoteright} personal plans to exit the job. This timing norm is taught in the workplace and then reinforced by individuals when they formulate their retirement plans around it.}, keywords = {Demographics, Employment and Labor Force}, author = {David J Ekerdt}, editor = {K. Warner Schaie and Schooler, Carmi} }