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Communication Mediation Model of Late-Night Comedy
Unformatted Document Text:  COMMUNICATION MEDIATION MODEL OF LATE-NIGHT COMEDY 16 To measure television news exposure, respondents were asked how often they used national nightly news and local television news on a 5-point scale, and responses on these two items were averaged to form an index (M = 3.55, SD = 1.44, α = .79). Newspaper use was measured by one item asking respondents how often they used daily newspaper on a on a 5-point scale (M = 3.59, SD = 1.44). Control Variables. Analyses control for a host of demographic variables, including age (M = 49.24, SD = 15.30), gender (46% female), race (75% white), household income (Median: $55,000), and education (Median: ‘some college or associate degrees’). The model also controlled for party affiliation (33% Republican, 31% Democrat) and political interest measured on a 6-point scale (M = 3.50, SD = 1.71). Results Model Specification and Fit. A path model using AMOS was employed. 4 Before fitting the model to the data, the control variables were residualized to avoid any confounding results (the regression results are available upon request). To identify the best fitting model, we started by fitting a saturated model, and then trimmed the model by removing the paths that were far from significant (p > . 10). Figure 2 presents path coefficients and standard errors. Overall, this model fits the data well, with a chi-square value of 3.59 with 2 degrees of freedom (p = .17; RMSEA = .03; GFI = . 99; AGFI = .98; and NFI = 0.99). [Insert Figure 2 Here] Direct Relationships between Late-Night Comedy Use and Interpersonal Talk. Results addressing H1a illustrate that exposure to late-night comedy was significantly

Authors: Lee, Hoon.
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To measure television news exposure, respondents were asked how often they used 
national nightly news and local television news on a 5-point scale, and responses on these two 
items were averaged to form an index (= 3.55, SD = 1.44, 
 = .79).  Newspaper use was 
measured by one item asking respondents how often they used daily newspaper on a on a 5-point 
scale (= 3.59, SD = 1.44). 
Control Variables.  
Analyses control for a host of demographic variables, including age (M = 49.24, SD = 
15.30), gender (46% female), race (75% white), household income (Median: $55,000), and 
education (Median: ‘some college or associate degrees’).  The model also controlled for party 
affiliation (33% Republican, 31% Democrat) and political interest measured on a 6-point scale 
(M = 3.50, SD = 1.71).
Model Specification and Fit. 
A path model using AMOS was employed.
  Before fitting the model to the data, the 
control variables were residualized to avoid any confounding results (the regression results are 
available upon request).  To identify the best fitting model, we started by fitting a saturated 
model, and then trimmed the model by removing the paths that were far from significant (p > .
10).  Figure 2 presents path coefficients and standard errors.  Overall, this model fits the data 
well, with a chi-square value of 3.59 with 2 degrees of freedom (= .17; RMSEA = .03; GFI = .
99; AGFI = .98; and NFI = 0.99).
[Insert Figure 2 Here]
Direct Relationships between Late-Night Comedy Use and Interpersonal Talk.
Results addressing H1a illustrate that exposure to late-night comedy was significantly 

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