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The Diffusion of an Online Community Newspaper Among College Students
Unformatted Document Text:  Diffusion Online News 13 accepted measures (Atkin, Jeffres, Neuendorf, Lange, & Skalski, 2005). The items assessed how often participants: go on the Internet, go on social networking sites, watch movies online, visit television news program websites, read online newspapers, send/receive e-mails, and visit chat rooms. The responses ranged from (1) almost never to (7) several times a day. A measurement model was calculated using the confirmatory factor analysis procedure in AMOS 18.0. The community attachment scale and the satisfaction scale were one factor scales. Two underlying factors were present in the interactive feature use variable: choice features and interpersonal features (see Table 2). These two factors were specified because of available features of the online community news site under study and with guidance from the literature. The interpersonal feature variable was ultimately dropped from the model. The CFA for the credibility scale also revealed two underlying factors: source credibility and timeliness (see Table 3). The timeliness factor was also dropped from the model because it did not appear to measure credibility and caused the model to fit poorly. The CFA also revealed that one item on the community attachment measure was not a strong indicator of the variable and that item was dropped from the model. The re-specified measurement model revealed good measures of fit. The Root Mean Square Error of Approximation for the measurement model was good (RMSEA = .06). The Comparative Fit Index score (CFI= .91) also provided evidence of a good fitting model. A simultaneous multiple regression analysis was conducted in SPSS 18.0 to test for multicollinearity between predictor variables. The variation inflation factor (VIF) statistics were above 1 and less than 4, suggesting thatmulticollinearity was not a concern among the predictor variables (O’Brien, 2007). Results

Authors: Hunt, Daniel., Atkin, David. and Kowal, Chris.
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Diffusion Online News 13
accepted measures (Atkin, Jeffres, Neuendorf, Lange, & Skalski, 2005).  The items assessed how 
often participants: go on the Internet, go on social networking sites, watch movies online, visit 
television news program websites, read online newspapers, send/receive e-mails, and visit chat 
rooms.  The responses ranged from (1) almost never to (7) several times a day.
A measurement model was calculated using the confirmatory factor analysis procedure in 
AMOS 18.0. The community attachment scale and the satisfaction scale were one factor scales. 
Two underlying factors were present in the interactive feature use variable: choice features and 
interpersonal features (see Table 2).  These two factors were specified because of available 
features of the online community news site under study and with guidance from the literature. 
The interpersonal feature variable was ultimately dropped from the model.  The CFA for the 
credibility scale also revealed two underlying factors: source credibility and timeliness (see 
Table 3).  The timeliness factor was also dropped from the model because it did not appear to 
measure credibility and caused the model to fit poorly.  The CFA also revealed that one item on 
the community attachment measure was not a strong indicator of the variable and that item was 
dropped from the model.  The re-specified measurement model revealed good measures of fit. 
The Root Mean Square Error of Approximation for the measurement model was good (RMSEA 
= .06). The Comparative Fit Index score (CFI= .91)  also provided evidence of a good fitting 
model.
A simultaneous multiple regression analysis was conducted in SPSS 18.0 to test for 
multicollinearity between predictor variables.   The variation inflation factor (VIF) statistics were 
above 1 and less than 4, suggesting thatmulticollinearity was not a concern among the predictor 
variables (O’Brien, 2007).   
Results


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