Hegemony Online, Multiple Regression

These SPSS multiple regression tables provide the answer to my research question: Which variables best predict the usage of hegemony online?

In the tables below, "ALIENATN" is each respondent's score on the Mos alienation scale, "EHROUTLG" is the self-reported number of hours they spend on e-mail each week (with outliers removed and the log-10 taken to normalize the distribution), and "WHROUTLG" is the self-reported number of hours they spend on the Web each week (with outliers removed and the log-10 taken to normalize the distribution).

In essence, the multiple regression indicates that people who use more hegemony online are those who are less alienated, spend less time on e-mail and spend more time on the Web than lower users of hegemony online. As the "Adjusted R Square" indicates, this formula explains 6.6% of the variation in hegemony online usage, which is more than any other set of variables tested by me — or anyone else.

Model Summary(b)
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .297(a) .089 .066 6.0787
a Predictors: (Constant), WHROUTLG, ALIENATN, EHROUTLG
b Dependent Variable: HEGSCORE

ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 437.708 3 145.903 3.949 .010(a)
Residual 4508.031 122 36.951

Total 4945.739 125


a Predictors: (Constant), WHROUTLG, ALIENATN, EHROUTLG
b Dependent Variable: HEGSCORE

Coefficients(a)

Unstandardized Coefficients Standardized Coefficients t Sig.
Model B Std. Error Beta

1 (Constant) 5.368 1.369
3.922 .000
ALIENATN -2.764 1.184 -.205 -2.335 .021
EHROUTLG -3.365 1.615 -.197 -2.083 .039
WHROUTLG 2.909 1.524 .180 1.909 .059
a Dependent Variable: HEGSCORE

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