Again, the presidential campaign acted as a catalyst for technology adoption, and led to first-time social networking users getting online. It also led to existing users creating additional profiles as well.
On the third most significant variable in determining the effects of social networks on which candidate would eventually win Q39. Do you have a single profile on each site, or do you have multiple profiles on one web site? Provides the most fascinating data from the three variables included in the analysis. Notice that the distribution of results is bifurcated from one spectrum to the other. This signals that through the use of the participative aspects of social networks, candidates were able to get the support of the top 5% of social networkers, as evidenced by having more than one profile on a given network. The mean value of this variable is 1.17 and it has a mode of 1, which again shows that the presidential campaign had the impact of creating higher adoption of social networks, with those early adopters being Obama voters.
When all three variables are taken together it is apparent that Obama's use of Web 2.0 technologies and social networks significantly increased the adoption of these technologies and websites. The data also shows that Obama, by using social networking as a core part of his strategy, adopted early adopters of other technologies as well. The use of cell phones for testing is an example
Analysis of relationships and their role in getting texts from the candidates shows that for variables 30B, 30C and 30D Obama dominates the cross-tabulation tables for the analysis. Literally, no one received text messages in any of the categories reflected by questions 30B, 30C and 30D from John McCain. This dramatically underscores how effective Web 2.0 technologies are as a means of connecting with and staying in contact with voters over a campaign.
Relationships in the Data
Appendix B provides a correlation analysis of the variables Q16, Q38, Q39 and Q41. The results show that at the .01 level of confidence that Q16 is the leading indicator of whether a respondent is pre-disposed to vote for Obama vs. McCain. Across the demographic factors and use of technologies for conventional tasks, there is no statistically significant difference between Obama and McCain voters at either the .01 or .05 levels. Only in the areas of social networking participation is the significant most prevalent and where there is a high level of statistical significance to the use of social networks for campaigning and the development of a voter base. The use of social networks as a catalyst for creating more participating online has been proven to be predictive of a candidates' ability to win an election based on this analysis.
Using regression analysis and Analysis of Variance (ANOVA), it becomes clear that the greater the level of familiarity or mastery of social networks, the greater the tendency to align with Obama's social media strategy. This is evident in the ANOVA completed that takes VOTE01 (Who the respondent would vote for) and completing regression and ANOVA analysis of variables Q16, Q38 and Q39. The following tables and scatterplots illustrate this point. What is also significant about this finding is that Obama, acting as an evangelist for social networks by accident actually galvanized the early adopters to create profiles for the first time, while also attracting the most experienced users of social networks who had multiple profiles on the same site.
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
5.907
2
2.953
.769
.464a
Residual
3.840
Total
a. Predictors: (Constant), Q39. Do you have a single profile on each site, or do you have multiple profiles on one web site?, Q38. How many total profiles do you have online, counting all web sites?
b. Dependent Variable: Vote01. If the 2008 presidential election were being held TODAY and the candidates were [ROTATE: (Barack Obama, the Democrat,) and (John McCain, the Republican,)] who would you vote for?
The most significant factor of the three is how many profiles a respondent has on a social networking site prior to being interviewed as part of the study. The effects of self-efficacy or self-learning of how to navigate social networking sites makes candidates' fan pages on Facebook much more approachable and therefore, drives up adoption of social networks around peers. What is significant about the following scatterplot is the polarity of it. Obama was able to capitalize on this polarity, in effect driving greater division between those who were social network-savvy and those that weren't, yet created a brand experience as a candidate that further social networking use. In effect his brand as a candidate fostered early adoption of social networking sites and also won the key influencer group of those with multiple profiles on the same site. The role Obama as a social networking evangelist is clear in the scatterplot as well, when analyzed across several different regression techniques.
IV. Summary
There are many factors that influence an election the magnitude of the U.S. presidential race...
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