Perceived susceptibility measures are not interchangeable: absolute, direct comparative, and indirect comparative risk.
Clicks: 304
ID: 85209
2010
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Popular Article
76.3
/100
303 views
244 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
To provide an explanation of perceived susceptibility judgment that accounts for both inconsistencies among commonly used measures of perceived susceptibility (i.e., absolute risk, direct comparative risk, and indirect comparative risk) and their inconsistent relationships to disease risk factors. Inconsistencies are attributed to differential processing of general versus personal risk factors, coupled with the method of computation of the risk measures.Study 1 characterized risk factors as general versus personal. In Studies 2 and 3, community-residing adult women (ns = 432 and 147, respectively) rated perceived susceptibility to osteoporosis, breast cancer, heart disease, and diabetes, rated risk factors, and reported personal medical history.Correlations and regression analyses mainly supported our characterization of the source of inconsistencies among susceptibility measures and their relationships to risk factors.Perceived susceptibility measures are not interchangeable and can lead to opposite conclusions about correlates of perceived susceptibility. Researchers are cautioned against using indirect comparative measures, computed as difference scores, and are encouraged to use other methods to compel participants to consider the risk of others when making comparative judgments.
| Reference Key |
ranby2010perceivedhealth
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ranby, Krista W;Aiken, Leona S;Gerend, Mary A;Erchull, Mindy J; |
| Journal | health psychology : official journal of the division of health psychology, american psychological association |
| Year | 2010 |
| DOI |
10.1037/a0016623
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.