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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Assessing Stakeholder Opinions Of Medical Review Of Impaired Drivers And Fitness To Drive: Recommendations For Massachusetts, Nina M. Silverstein, Kelli Barton
Assessing Stakeholder Opinions Of Medical Review Of Impaired Drivers And Fitness To Drive: Recommendations For Massachusetts, Nina M. Silverstein, Kelli Barton
Gerontology Institute Publications
Driving is the main mode of travel for Americans age 65 and older, and although older adults are generally found to be safe drivers, aging often brings about functional limitations and an increase in medications that can impede safe driving and fitness to drive (Rosenbloom, 2003; Kissinger, 2008; Adler & Silverstein, 2008). Effective licensing policies and Medical Advisory Board practices are critical components in identifying medically at-risk drivers and may even have a role in the transition to alternative transportation options; yet, states vary greatly in their approach to licensing and renewal practices and in the utilization, composition, and function …
Using Internet‐Based Vignette Methods To Understand Elder Residential Choices, Francis G. Caro, Teck Ho, Daniel Mcfadden, Alison Gottlieb, Christine Yee, Taizan Chan, Joachim Winter
Using Internet‐Based Vignette Methods To Understand Elder Residential Choices, Francis G. Caro, Teck Ho, Daniel Mcfadden, Alison Gottlieb, Christine Yee, Taizan Chan, Joachim Winter
Gerontology Institute Publications
This paper illustrates an innovative method of administering fractional factorial surveys (vignettes) using the internet. The approach makes it possible to use video clips to deliver information. The method also provides subjects with interactive options before making judgments. A study to determine the views of older people regarding residential options is used to illustrate the method. The study found that the following characteristics of vignette persons affected subject recommendations: personal introduction, functional status, social network, and current housing characteristics. However, characteristics of retirement community features and personal financial status did not affect recommendations.