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. Author manuscript; available in PMC: 2015 Jan 18.
Published in final edited form as: Communic Res. 2010 Dec 14;38(6):731–753. doi: 10.1177/0093650210384990

Table 2. OLS Regression Predicting Wave 2 Fatalistic Beliefs about Cancer Prevention.

Variable Bivariate Models Multivariable Step 1 Multivariable Step 2 Multivariable Step 3
Independent Variables
 Cancer fatalism (wave 1) .57*** .56*** .52*** .50***
 Overall TV viewing .13** .13** .11** .10*
 National TV news viewing -.02 - - -.07
 Local TV news viewing .10* - - .13**
Demographic Variables
 Age -.07+ - -.13** -.14**
 Black (vs. White) .09* - .07 .06
 Hispanic (vs. White) .01 - -.03 -.04
 Other race (vs. White) .01 - .03 .03
 Education -.12** - -.11* -10*
 Income -.10* - -.05 -.05

R2 (%) - 34.1*** 37.1*** 38.1***
Change in R2 (%) - 34.1*** 3.0** 1.0*
N 447 447 447 447

Notes:

+

denotes p < .10;

*

p < .05;

**

p < .01;

***

p < .001. Cells present standardized regression coefficients. The column labeled “Bivariate Models” shows the relationship between each variable and time 2 fatalism, controlling only for time 1 fatalism. Gender, household size, marital and employment status, religious attendance, health status, cancer history, BMI, current smoking, binge drinking, newspaper reading, radio news listening, and internet news reading did not predict time 2 fatalism in models controlling for time 1 fatalism (p > .10 for each variable) and were thus excluded from further consideration. Multivariable Step 1 includes overall TV viewing and time 1 fatalism as predictors, a test of the original cultivation hypothesis. Multivariable Step 2 adds all demographic, health behavior (none) and media use variables (none, excluding TV news) that were significant predictors of cancer fatalism (time 2) at p < 0.10. Multivariable Step 3 adds TV news viewing variables in a comprehensive multivariable model.