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Table 6 Hierarchical Regression Analysis of Predicting Campaign
Process and Outcome
Process Outcome Process Outcome Process Outcome Process Outcome
Regression 1
Regression 2
Regression 3
Regression 4
Demographics
Gender .092*
.058
.080
.054
.082
.040
.121
.090
Age -.035
-.059
-.056
-.111*
-.012
-.119
.005
-.064
Education -.009 -.045
-.003
-.028
.017
-.026
.127
.056
Income -.043
-.072
-.031
-.085
-.048
-.065
-.021
-.025
Political orientation
Internal
self-efficacy
-.068
-.054
-.071
-.053
.124
.170*
External
self-efficacy
.135**
.149**
.118
.149*
.044
.106
Political interest
.106*
.068
.100
.012
.187
.060
Party ID
.055
.118*
.049
.101
.134
.132
Media Attention
Attention to
Terrestrial TV news
.061
-.056
.057
-.135
Attention to
Terrestrial TV news
.184*
.128
.155
.195*
Cable news
attention
-.153
.051
-.192
-.013
Call-in attention
-.141
-.165*
-.087
-.127
Media negativism
TV
-.122
-.065
Newspaper
.148 .144
TV call-in
.066
.073
R
.009
.011
.056
.011
.100
.083
.204
.174
Adjusted R
.001
.003
.034
.003
.052
.033
.119
.084
R
.009
.011
.045
.011
.054
.031
.022
.024
Significance
.348
.224
.001
.224
.010
.130
.270
.266
*p< .05
**p<.01
***p<.001
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