Abstract
Social Networking Sites have been consuming a major part in the Youth daily routine. The study was conducted with an aim to study the effect of social networking sites and perceived social support on the psychological well-being of the youth. The sample size was 100 which had 50 males and 50 females. All the participants were college going students or new entrants in the corporate sector. The participants were asked to fill the questionnaire which had four parts – 1. Social Networking Sites Survey, 2. Multidimensional Scale of Perceived Social Support Assessment, 3. Psychological General Well-Being Index. The results indicated a negative relationship between the usage of social networking sites and the psychological well-being while positive relationship existed between online perceived social support and psychological well-being. Certain gender differences were also found among the variables like perceived social support and attraction towards social networking sites. This study has a lot of implications in terms of creating awareness among the youth so that they limit the usage of social networking sites and also a lot of research in the Indian context is yet to be done.
Highlights
Social Networking Sites have been consuming a major part in the Youth daily routine
The maximum standard deviation among the three variables is of Perceived Social Support (PSS) i.e. 31.3590 which shows that the scores of PSS are the most scattered among the participants followed by usage hours (10.8845) and the least scattered scores are of psychological well-being (PWB) Usage hours (5.7719), showing that they are least deviated from the mean among all the variables
Since the results show positive correlation, the psychological well-being will increase with every increase in the online perceived social support and vice versa
Summary
Once the Google form was ready, the form was e-mailed or messaged on the phone of the participants. They were asked to respond as promptly as possible. A time of one week was allotted for data collection. On the first day itself, the return rate was 70% (i.e. 70% people responded on the same day). The responses were automatically recorded and data analysis was carried out by the researcher. Statistical Analysis Three data analysis methods were used in this study: descriptive statistics, correlation and one way ANOVA. The data for this research was analyzed using the Statistical Package for the Social Sciences (SPSS 16.0)
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