title: Perceived susceptibility measures are not interchangeable: absolute, direct comparative, and indirect comparative risk.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  Correlations and regression analyses mainly supported our characterization of the source of inconsistencies among susceptibility measures and their relationships to risk factors.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Psychology, Arizona State University, AZ, USA. krista.ranby@duke.edu
authors.forename: Krista W
authors.initials: KW
authors.lastname: Ranby
authors.forename: Leona S
authors.initials: LS
authors.lastname: Aiken
authors.forename: Mary A
authors.initials: MA
authors.lastname: Gerend
authors.forename: Mindy J
authors.initials: MJ
authors.lastname: Erchull
mesh_terms: D000328:Adult; D001294:Attitude to Health; D005260:Female; D006304:Health Status; D006801:Humans; D007600:Judgment; D008297:Male; D011584:Psychology / Q000379:methods* / Q000706:statistics & numerical data*; D018570:Risk Assessment