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. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: Med Decis Making. 2017 Mar 31;37(6):657–669. doi: 10.1177/0272989X17699835

Table 2.

Effect of personalized breast cancer risk information on Time 1 social-cognitive variablesa

Outcome F p η2partial Non-personalized Personalized

Mean SE Mean SE
Hypothesis 1 (entire sample)
 Intentions 11.5 0.001 0.09 4.0 0.1 4.5 0.1
 Self-efficacy 5.2 0.02 0.04 3.4 0.1 3.8 0.1
 Response efficacy 7.2 0.01 0.06 3.5 0.1 3.9 0.1

Hypothesis 3 (entire sample)
 Post-intervention perceived risk 0.0 0.99 0.00 4.1 0.2 4.1 0.2

Hypothesis 4 (personalized only)
 Change in perceived riskb 15.2 .001 0.35 - - - -
  Initial underestimators 4.4c .001 0.78d - - 0.7 0.2
  Initial overestimators −2.6c .02 0.69d - - −1.1 0.4
  Initial accurate −2.2c .05 0.58d - - −.5 0.2
a

All analyses controlled for the following covariates: educational attainment, race/ethnicity, family history of breast cancer, and stage of engagement in physical activity.

b

Change in perceived risk from pre- to post-intervention among women who received personalized risk information only, according to whether they overestimated, underestimated, or accurately underestimated their risk prior to engaging with the risk assessment tool, n=66. Mean values are difference scores.

c

Numbers are t-values, not F-values.

d

Numbers are Cohen’s D effect sizes, not partial η2 effect sizes.