## 2 Results
### Inferential Statistics
#### 2.2.1 Univariate Analysis: Correlation Between the Order Parameters  
The Pearson's \(r\) correlation statistic was adopted to estimate the relations between the fundamental variables of interest with respect to the 4 sub population considered by our study Table 5.  
The age of the participants appears to have no significant effects. The only exception is related to the Turkish female sample where a weak relation emerged between age and privacy confidence. Education appears to be related to the sense of community only in the Italian sample. In particular, it showed quite an interesting reversed effect regarding gender for Italian males, where we obtained a negative correlation explaining about 20% of the variance which suggested that males with a higher education are characterized by a lower sense of community. However, the Italian females reported a \begin{table}
\begin{tabular}{l l l l l l l l} \hline \hline \multirow{2}{*}{**Measure**} & \multirow{2}{*}{**Age**} & \multirow{2}{*}{**Education**} & \multicolumn{2}{c}{**Sense**} & \multicolumn{2}{c}{**Participation**} & \multicolumn{2}{c}{**Privacy**} \\  & & & **of Community** & & **Submeasures** & & **Submeasures** \\ \cline{5-8}  & & & & & **Confidence** & **Concerns** & **Confidence** & **Concerns** \\ \hline \hline
**Sense of Community** & & & & & & & & \\ It. Female & ns & \(0.28\)* & 1 & ns & ns & ns & ns \\ It. Male & ns & \(-0.45\)* & 1 & 0.69** & 0.54** & ns & 0.58** \\ Tk. Female & ns & ns & 1 & ns & ns & ns & ns \\ Tk. Male & ns & ns & 1 & 0.39** & \(-0.33\)** & ns & ns \\ \hline
**Par. Confidence** & & & & & & & \\ It. Female & ns & ns & ns & 1 & \(-0.53\)** & 0.28* & ns \\ It. Male & ns & ns & 0.69** & 1 & ns & ns & 0.40** \\ Tk. Female & ns & ns & ns & 1 & ns & 0.61** & 0.35* \\ Tk. Male & ns & ns & 0.39** & 1 & ns & 0.40** & ns \\ \hline \hline
**Par. Concerns** & & & & & & & \\ It. Female & ns & ns & ns & \(-0.53\)** & 1 & ns & 0.34* \\ It. Male & ns & ns & 0.54** & ns & 1 & ns & 0.47** \\ Tk. Female & ns & ns & ns & ns & 1 & ns & 0.29* \\ Tk. Male & ns & ns & \(-0.33\)* & ns & 1 & ns & 0.40** \\ \hline \hline
**Pri. Confidence** & & & & & & & \\ It. Female & ns & \(-0.31\)* & ns & 0.28* & ns & 1 & ns \\ It. Male & ns & ns & ns & ns & ns & 1 & ns \\ Tk. Female & 0.29* & ns & ns & 0.61** & ns & 1 & ns \\ Tk. Male & ns & ns & ns & 0.40** & ns & 1 & ns \\ \hline
**Pri. Concerns** & & & & & & & \\ It. Female & ns & \(-0.40\)** & ns & ns & 0.34* & ns & 1 \\ It. Male & ns & ns & 0.58** & 0.40* & 0.47** & ns & 1 \\ Tk. Female & ns & ns & ns & 0.35* & 0.29* & ns & 1 \\ Tk. Male & ns & ns & ns & ns & 0.40** & ns & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Correlations between the dependent measures. positive correlation between the two measures explaining the 8% of the variance. For what concerns the privacy construct, education appears to affect only the Italian female perception. In particular, we always obtained a negative correlation accounting for 9% and 16% of the variance respectively for privacy confidence and privacy concerns. The sense of community correlation structure shows interesting features as well. First of all no significant correlation appears to relate the sense of community with privacy and participation for the females disregarding nationality. On the contrary, the male sub-samples both reports positive correlations between sense of community and participation confidence with higher values for Italians (\(r=0.69\)), and lower values for Turkish students (\(r=0.39\)). While an opposite behavior appears to characterize the relation with the participation concerns, with values respectively of \(r=0.54\) for Italians, and of \(r=-0.33\) for Turkish males. Only the Italian males show a significant positive correlation between sense of community and privacy concerns (\(r=0.58\)). In order to evaluate the non-trivial relationships existing between concerns and confidence for both the participation and privacy perceptions, we explicitly took into account all the correlation structures describing such sub-measures separately.