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Communication Mediation Model of Late-Night Comedy
Unformatted Document Text:  Communication Mediation Model of Late-Night Comedy Appendix B. Regression Analyses for Residualization Table B1Results from regressing exogenous and endogenous variables of the path model on control variables (N = 777 in survey) Note: Unstandardized regression coefficients calculated by SPSS are reported along with corresponding standard errors in parentheses. # p < .10; * p < .05; ** p < .01; *** p < .001   Political Discussion Network Heterogeneous Late-Night Television Newspaper Participation Frequency Size Discussion Comedy-Use News Use Use Age .005 * (.002) .011 * (.004) .0 13 (.012) .00 4 (.004) -.005 * (.002) .017 *** (.003) .018 *** (.004) Gender (female=1) .042 (.054) -.094 (.122) -.768 * (.318) -.066 (.105) -.002 (.057) .304 ** (.095) .064 (.110) Race (White=1) -.121 # (.067) -.344 * (.149) -.859 * (.391) -.045 (.128) .130 # (.071) -.267 * (.117) -.211 (.134) Household income .000 (.001) .003 * (.001) .00 9 ** (.003) .00 0 (.001) -.001 (.001) .000 (.001) .002 # (.001) Education .034 (.027) .104 # (.061) .268 # (.162) -.222 *** (.053) .118 *** (.029) -.118 * (.048) .043 (.055) Party ID (Dem=high) -.019 (.023) -.085 # (.051) -.064 (.135) .121 ** (.044) .125 *** (.024) .064 (.040) .085 # (.046) Political interest .123 *** (.027) .307 *** (.035)1 .030 *** (.093) -.005 (.031) .06 7 *** (.017) .057 * (.028) .012 (.032) R 2 (%) 10.6 15.9 21.4 4.4 8.4 6.8 4.1 33

Authors: Lee, Hoon.
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Communication Mediation Model of Late-Night Comedy
Appendix B.  Regression Analyses for Residualization
Table B1
Results from regressing exogenous and endogenous variables of the path model on control variables (N = 777 in survey)
Note: Unstandardized regression coefficients calculated by SPSS are reported along with corresponding standard errors in parentheses.  
#
< .10; 
*
p < .05; 
**
p < .01; 
***
< .001
 
Political
Discussion
Network
Heterogeneous
Late-Night
Television
Newspaper
Participation
Frequency
Size
Discussion
Comedy-Use
News Use
Use
Age
.005
*
 (.002)
.011
*
 (.004) .0 13 (.012)
.00 4 (.004)
-.005
*
 (.002)
.017
***
 (.003)
.018
***
 (.004)
Gender (female=1)
.042 (.054)
-.094 (.122) -.768
*
 (.318)
-.066 (.105)
-.002 (.057)
.304
**
 (.095)
.064 (.110)
Race (White=1)
-.121
#
 (.067)
-.344
(.149) -.859
(.391)
-.045 (.128)
.130
(.071)
-.267
(.117)
-.211 (.134)
Household income
.000 (.001)
.003
*
 (.001) .00 9
**
 (.003)
.00 0 (.001)
-.001 (.001)
.000 (.001)
.002
#
 (.001)
Education
.034 (.027)
.104
#
 (.061) .268
#
 (.162)
-.222
***
 (.053)
.118
***
 (.029)
-.118
*
 (.048)
.043 (.055)
Party ID (Dem=high)
-.019 (.023)
-.085
#
 (.051) -.064 (.135)
.121
**
 (.044)
.125
***
 (.024)
.064 (.040)
.085
#
 (.046)
Political interest
.123
*** 
(.027)
.307
***
 (.035)1
.030
***
 (.093) -.005 (.031)
.06 7
***
 (.017)
.057
(.028)
.012 (.032)
R
(%)
10.6
15.9
21.4
4.4
8.4
6.8
4.1
33


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