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Learning About Presidential Primary Candidates: Campaign Advertising , Learning, and Recall
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40
Appendix Table B: Interpreting the Role of News at T2 in Multinomial Logit Models for Candidate Background Questions
Governor
Senator
POW
Variation Tested
13
Min Mean
Max
Min Mean
Max
Min Mean
Max
Role of News at T2 Wrong in both
.042 (.009)
.034 (.004)
.028 (.006)
.087
(.010)
.085 (.006)
.083 (.011)
.058
(.008)
.057 (.005)
.055 (.009)
Wrong to right
.086 (.001)
.072 (.000)
.062 (.001)
.154
(.002)
.132 (.001)
.109 (.002)
.010
(.001)
.118 (.000)
.143 (.002)
Right to wrong
.045 (.001)
.040 (.000)
.035 (.000)
.050
(.001)
.050 (.000)
.048 (.001)
.036
(.000)
.023 (.000)
.013 (.000)
Right in both
.827 (.010)
.854 (.004)
.875 (.007)
.709
(.011)
.733 (.006)
.760 (.013)
.806
(.009)
.802 (.005)
.788 (.010)
Role of news at T2 when respondents are not very interested at T2
Wrong in both
.053 (.010)
.043 (.005)
.036 (.007)
.108
(.012)
.106 (.007)
.103 (.013)
.074
(.010)
.072 (.006)
.070 (.011)
Wrong to right
.099 (.001)
.084 (.000)
.072 (.001)
.174
(.002)
.150 (.001)
.124 (.002)
.115
(.001)
.136 (.001)
.164 (.002)
Right to wrong
.049 (.001)
.044 (.000)
.039 (.000)
.056
(.001)
.056 (.000)
.055 (.001)
.040
(.000)
.025 (.000)
.014 (.000)
Right in both
.799 (.011)
.830 (.005)
.853 (.008)
.662
(.013)
.689 (.007)
.718 (.015)
.772
(.011)
.767 (.006)
.752 (.013)
Role of news at T2 when respondents are not Republicans
Wrong in both
.047 (.010)
.038 (.005)
.033 (.006)
.097
(.012)
.094 (.007)
.092 (.012)
.065
(.009)
.064 (.006)
.062 (.010)
Wrong to right
.093 (.001)
.078 (.000)
.067 (.001)
.163
(.002)
.140 (.001)
.116 (.002)
.106
(.001)
.125 (.001)
.152 (.002)
Right to wrong
.049 (.001)
.043 (.000)
.038 (.000)
.052
(.001)
.051 (.000)
.050 (.001)
.045
(.001)
.029 (.000)
.016 (.000)
Right in both
.811 (.011)
.840 (.005)
.862 (.007)
.689
(.013)
.714 (.007)
.742 (.014)
.784
(.010)
.782 (.006)
.769 (.012)
Role of news at T2 with no advertising at T1
Wrong in both
.045 (.010)
.034 (.004)
.030 (.006)
.088
(.010)
.086 (.007)
.083 (.011)
.064
(.010)
.062 (.006)
.060 (.009)
Wrong to right
.093 (.001)
.079 (.000)
.067 (.001)
.162
(.002)
.139 (.001)
.114 (.002)
.110
(.001)
.129 (.001)
.157 (.002)
Right to wrong
.046 (.001)
.041 (.000)
.036 (.000)
.052
(.001)
.052 (.000)
.051 (.001)
.037
(.000)
.023 (.000)
.013 (.000)
Right in both
.816 (.011)
.845 (.004)
.866 (.007)
.698
(.012)
.724 (.007)
.751 (.013)
.790
(.011)
.785 (.006)
.770 (.011)
13
The results presented in this table were obtained using CLARIFY. Michael Tomz, Jason Wittenberg, and Gary King. 2003. CLARIFY: Software for
Interpreting and Presenting Statistical Results. Version 2.1. Stanford University, University of Wisconsin, and Harvard University. January 5. Available at http://gking.harvard.edu/ All other variables are set at their mean values.
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40
Appendix Table B: Interpreting the Role of News at T2 in Multinomial Logit Models for
Candidate Background Questions
Governor
Senator
POW
Min Mean
Max
Min Mean
Max
Min Mean
Max
Role of News at T2
Wrong in
both
.042
(.009)
.034
(.004)
.028
(.006)
.087
(.010)
.085
(.006)
.083
(.011)
.058
(.008)
.057
(.005)
.055
(.009)
Wrong to
right
.086
(.001)
.072
(.000)
.062
(.001)
.154
(.002)
.132
(.001)
.109
(.002)
.010
(.001)
.118
(.000)
.143
(.002)
Right to
wrong
.045
(.001)
.040
(.000)
.035
(.000)
.050
(.001)
.050
(.000)
.048
(.001)
.036
(.000)
.023
(.000)
.013
(.000)
Right in
both
.827
(.010)
.854
(.004)
.875
(.007)
.709
(.011)
.733
(.006)
.760
(.013)
.806
(.009)
.802
(.005)
.788
(.010)
Role of news at T2 when respondents are not very interested at T2
Wrong in
both
.053
(.010)
.043
(.005)
.036
(.007)
.108
(.012)
.106
(.007)
.103
(.013)
.074
(.010)
.072
(.006)
.070
(.011)
Wrong to
right
.099
(.001)
.084
(.000)
.072
(.001)
.174
(.002)
.150
(.001)
.124
(.002)
.115
(.001)
.136
(.001)
.164
(.002)
Right to
wrong
.049
(.001)
.044
(.000)
.039
(.000)
.056
(.001)
.056
(.000)
.055
(.001)
.040
(.000)
.025
(.000)
.014
(.000)
Right in
both
.799
(.011)
.830
(.005)
.853
(.008)
.662
(.013)
.689
(.007)
.718
(.015)
.772
(.011)
.767
(.006)
.752
(.013)
Role of news at T2 when respondents are not Republicans
Wrong in
both
.047
(.010)
.038
(.005)
.033
(.006)
.097
(.012)
.094
(.007)
.092
(.012)
.065
(.009)
.064
(.006)
.062
(.010)
Wrong to
right
.093
(.001)
.078
(.000)
.067
(.001)
.163
(.002)
.140
(.001)
.116
(.002)
.106
(.001)
.125
(.001)
.152
(.002)
Right to
wrong
.049
(.001)
.043
(.000)
.038
(.000)
.052
(.001)
.051
(.000)
.050
(.001)
.045
(.001)
.029
(.000)
.016
(.000)
Right in
both
.811
(.011)
.840
(.005)
.862
(.007)
.689
(.013)
.714
(.007)
.742
(.014)
.784
(.010)
.782
(.006)
.769
(.012)
Role of news at T2 with no advertising at T1
Wrong in
both
.045
(.010)
.034
(.004)
.030
(.006)
.088
(.010)
.086
(.007)
.083
(.011)
.064
(.010)
.062
(.006)
.060
(.009)
Wrong to
right
.093
(.001)
.079
(.000)
.067
(.001)
.162
(.002)
.139
(.001)
.114
(.002)
.110
(.001)
.129
(.001)
.157
(.002)
Right to
wrong
.046
(.001)
.041
(.000)
.036
(.000)
.052
(.001)
.052
(.000)
.051
(.001)
.037
(.000)
.023
(.000)
.013
(.000)
Right in
both
.816
(.011)
.845
(.004)
.866
(.007)
.698
(.012)
.724
(.007)
.751
(.013)
.790
(.011)
.785
(.006)
.770
(.011)
13
The results presented in this table were obtained using CLARIFY. Michael Tomz, Jason Wittenberg, and Gary King. 2003. CLARIFY: Software for
Interpreting and Presenting Statistical Results. Version 2.1. Stanford University, University of Wisconsin, and Harvard University. January 5.
Available at http://gking.harvard.edu/
All other variables are set at their mean values.
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