Table 3.
I find breast cancer screening recommendations to be confusing |
Research findings about breast cancer screening seem to be all over the map |
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Measure | Model 1 | Model 2 | Model 3 | Model 4 | Model 1 | Model 2 | Model 3 | Model 4 |
| ||||||||
Ecological exposure | 0.000 | −0.000 | ||||||
(0.000) | (0.0004) | |||||||
Top-of-head thought-listing | ||||||||
References “old” only | −0.191^ | 0.020 | ||||||
(0.107) | (0.102) | |||||||
References new/change | 0.495*** | 0.351*** | ||||||
(0.099) | (0.092) | |||||||
Self-assessed exposure to conflict in media | 0.280*** (0.035) |
0.226*** (0.032) |
||||||
Inferred exposure | ||||||||
Mammography conflict | 0.331* | 0.298* | ||||||
(0.146) | (0.130) | |||||||
Age-related conflict | −0.058 | 0.049 | ||||||
(0.081) | (0.072) | |||||||
Frequency-related conflict | 0.260** | 0.186* | ||||||
(0.094) | (0.088) | |||||||
Personal conflict | 0.215* | 0.137 | ||||||
(0.092) | (0.084) | |||||||
| ||||||||
Observations | 1,059 | 718 | 774 | 1,058 | 1,060 | 719 | 773 | 1,059 |
| ||||||||
R-squared | 0.021 | 0.079 | 0.083 | 0.094 | 0.057 | 0.102 | 0.105 | 0.114 |
. |
Note. Robust standard errors in parentheses;
p<0.001
p < 0.01
p < 0.05
p < 0.1. For each outcome, we generated four models, one for each of the four types of exposure measurement, to avoid multicollinearity (1=ecological, 2=inferred, 3=top-of-head, 4=self-assessed). All models control for age category, gender, educational attainment, income, race, marital status, average health news consumption, and institutional confidence.