H 01: There is an association between time spent on social media and number of social networking sites. Table 3: Cross tabs From the above Table 3, the significance value is 0.000, which is less than 0.05. Hence the null hypothesis is rejected and there is an association between time spent on social media and number of social networking sites. H There is an association between usage of social media and number of social networking sites. Table 4: Cross tabs Chi-Square Tests Value df Asymp. Sig. (sided) Pearson Chi-Square a .000 Likelihood Ratio 38.327 16 .001 Linear-by-Linear Association 18.865 1 .000 N of Valid Cases 90 a. 18 cells (72.0%) have expected countless than 5. The minimum expected count is .04. From the above Table 4, the significance value is 0.000, which is less than 0.05. Hence the null hypothesis is rejected and there is an association between usage of social media and number of social networking sites. H There is a difference between number of social networking sites and symptoms of depression. Table 5: Anova ANOVA Number of SNS Sum of Squares df Mean Square F Sig. Between Groups 14.172 4 3.543 2.554 .045 Within Groups 117.928 85 1.387 Total 132.100 89 From the above Table 5, the significance value is 0.045, which is less than 0.05. Hence the null hypothesis is rejected and there is a difference between number of social networking sites and symptoms of depression. H There is a relationship between feeling anxious and serious active on social networking sites than in real life Table 6: Correlation Correlation Feel anxious More seriously active on SNS than in real life $Purpose Frequencies Responses Percent of Cases N Percent Purpose of SNS a Academics 68 21.7% 75.6% Games 49 15.7% 54.4% Movies 51 16.3% 56.7% Sports 42 13.4% 46.7% Entertainment Serials 29 9.3% 32.2% Total 313 100.0% 347.8% a. Dichotomy group tabulated at value 1.
