This chapter presents the trends and associations between the surveys they conducted in different countries, thanks to a series of statistical analyses that lead to valuable conclusions. Among others, the authors used Pearson chi-square analysis, Kruskal-Wallis H, and Mann-Whitney U tests.
TopAggregated Statistical Analysis And Conclusions Of The Surveys
Regarding the trends and associations between the aforementioned surveys in different countries, a series of statistical analysis was conducted leading to valuable conclusions.
Firstly, a Pearson Chi-square analysis was carried out for the question “Do you agree with the implementation of an Internet Regulation System focusing on highly sensitive online content?” and the origin of the participants. It showed (χ2=128.207) a significant association (a=0.000) between country of origin and agreement on the question set. What’s more, the aforementioned association is confirmed using the non-parametrical methods of Kruskal-Wallis H and Mann-Whitney U tests.
More specifically, Kruskal-Wallis H test (see table below) indicates that Greek and Cypriot Internet users are associated with the answer “Yes,” the German Internet users are associated with the answer “No,” while the rest (Russian, Indian and Kosovar Internet users) are associated with the answer “Yes, under conditions.” Taking into account that “Yes” value was 1, “Yes, under conditions” value was 2, and “No” value was 3, Greece’s and Cyprus’s low mean ranks and Germany’s high mean rank can be understood.
Table 1. | Country | N | Mean Rank |
| (18) Do you agree with the implementation of an Internet regulation system by the state focusing on illegal content? | Greece | 409 | 299.30 |
| Germany | 69 | 531.97 |
| Russia | 47 | 340.86 |
| India | 50 | 465.79 |
| Kossovo | 62 | 408.54 |
| Cyprus | 56 | 298.46 |
| Total | 693 | |
χ2= 128.207, df= 5, α= 0.000