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Late-Night Comedy as a Gateway to Traditional News: An Analysis of Time Trends in News Attention among Late-Night Comedy Viewers during the 2004 Presidential Primaries
Unformatted Document Text:  Comedy as a Gateway Page 36       − + − + + − + − + − = − 2 2 2 2 1 1 2 1 2 1 2 1 2 2 2 1 1 1 ) 1 ( ) 1 ( 1 1 2 ) ( ) ( 02 01 V N X V N X N N k N N MSE k N MSE k N S B B where N = sample size (here, the number of days in the time series, 213) k = the number of model parameters MSE = the residual mean-square error for the regression equation V = the variance of the predictor X = the mean of the predictor The t-statistic obtained is evaluated using (N 1 + N 2 - 2k) degrees of freedom. Additional computational information needed for statistical tests reported in text (see Table 2 for slope and intercept estimates): Equation Model 1 MSE Model 2 MSE No-Comedy 0.015 0.012 Leno/Letterman 0.030 0.028 Daily Show 0.213 0.212 Predictor Mean ( X ) Variance (V) Day (Linear) 107.00 3798.50 Day 2 (Quadratic) 3780.67 11487930.17 Iowa 0.64 0.23

Authors: Feldman, Lauren. and Young, Danna.
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Comedy as a Gateway
Page 36
+
+
+
+
+
=
2
2
2
2
1
1
2
1
2
1
2
1
2
2
2
1
1
1
)
1
(
)
1
(
1
1
2
)
(
)
(
02
01
V
N
X
V
N
X
N
N
k
N
N
MSE
k
N
MSE
k
N
S
B
B

where
N
= sample size (here, the number of days in the time series, 213)
k
= the number of model parameters
MSE
= the residual mean-square error for the regression equation
V
= the variance of the predictor
X = the mean of the predictor
The t-statistic obtained is evaluated using (N
1
+ N
2
- 2k) degrees of freedom.
Additional computational information needed for statistical tests reported in text (see Table 2 for
slope and intercept estimates):
Equation
Model 1 MSE Model 2 MSE
No-Comedy
0.015
0.012
Leno/Letterman
0.030
0.028
Daily Show
0.213
0.212
Predictor
Mean ( X )
Variance (V)
Day (Linear)
107.00
3798.50
Day
2
(Quadratic)
3780.67
11487930.17
Iowa
0.64
0.23


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