Date of Award

Summer 8-15-2017

Author's School

Graduate School of Arts and Sciences

Author's Department


Degree Name

Doctor of Philosophy (PhD)

Degree Type



Recent biomedical research has focused on early detection of Alzheimer’s disease (AD) pathology in people who do not yet have symptoms of the disease. This focus represents a shift in current diagnostic practices from detection of cognitive impairment to include detection of disease risk. This study examines attitudes regarding preclinical risk detection for AD in individuals aged 19-65 recruited online using Amazon’s Mechanical Turk. Participants were randomized to view an educational intervention (varying method and depth of education) and viewed a videotaped disclosure of hypothetical risk for AD to themselves (varying level of risk). Participants reported on several individual difference variables (e.g., prior knowledge, experience with AD) as well as their interest in predictive testing and subjective risk of AD. The results of this study show that prior knowledge, experience with AD, depth of education, and level of risk disclosed interact to influence subjective risk estimates. These findings have implications for the development of empirically-supported education interventions and disclosure processes for preclinical AD.


English (en)

Chair and Committee

Brian D. Carpenter

Committee Members

David Balota, Mitchell Sommers, Matthew S. Gabel, Desiree A. White,


Permanent URL:

Available for download on Wednesday, July 19, 2119

Included in

Psychology Commons