Table 3 Prediction of Number of Total Twitter Posts (log)
From: Linking Twitter and survey data: asymmetry in quantity and its impact
| Â | IP (S.E.) | NCP (S.E.) |
|---|---|---|
#Followers (log) | 1.004** | 0.958** |
(0.114) | (0.137) | |
#Friends (log) | 0.155 | 0.242 |
(0.122) | (0.164) | |
Female | −0.424* | −0.420 |
(0.250) | (0.317) | |
Employed | −0.539 | −0.071 |
(0.390) | (0.364) | |
Age | −0.004 | 0.005 |
(0.011) | (0.013) | |
HH Income £2400+ | −0.298 | 0.074 |
(0.360) | (0.386) | |
Education (baseline other education) | Â | Â |
 Higher Ed. Degree | 0.593 | −0.516 |
(0.386) | (0.368) | |
 Professional/A-levels | 0.843** | −0.515 |
(0.375) | (0.485) | |
Frequent Internet Use | 1.106 | 0.507 |
(0.844) | (0.552) | |
White Ethnicity | 0.420 | −0.026 |
(0.342) | (0.727) | |
Married | 0.003 | −0.073 |
(0.300) | (0.326) | |
Positive Econ. Well-Being | 0.043 | −0.150 |
(0.280) | (0.332) | |
Constant | −0.386 | 0.983 |
(1.063) | (1.025) | |
Chi-Sq/DF | 1.86 | 2.42 |
n | 127 | 112 |