2023, Vol. 4, Issue 1, Part A
A statistical analysis of the effect of social networking sites on students' academic performance in the western Odisha universities
Author(s): Deepak Kumar Behera, Dr. Rajendra Gartia, Dr. Ranjan Kumar Sahoo, Suru Munda and Pritipadma Sahu
Abstract: The purpose of this research is to investigate the core notion of social networking sites, as well as their relevance, use, and effect on the academic performance of students. The university students from western Odisha are the major source of information for this study. Primary data on demographic information, educational qualifications & achievements are collected through Google forms in online and offline methods that were utilized for the study. From the sample of size 277, gender-wise distribution [Female- 141 (50.9%) and Male- 136 (49.1%)] have been responded to and selected for our study. A five-point Likert Type Rating Scale Questionnaire, titled: Social Media and Academic Performance of Students Questionnaire was used to collect data from the participants. The data so collected are analyzed through IBM SPSS Statistics 26 under MS Excel environment and the results are analyzed. Statistical tools like Graphs, Pie- Charts, Diagrams, Chi-Square tests, and t-tests were used for the statistical data analysis to assess the various effects of social networking sites on the academic performance of students. The results reveal that the students who spend more time on SNSs are likely to demonstrate poor Academic achievement. Students can be able to boost their Academic achievement by collecting data and gathering important information.
DOI: https://doi.org/10.22271/math.2023.v4.i1a.74
Pages: 05-09 | Views: 1583 | Downloads: 1158
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How to cite this article:
Deepak Kumar Behera, Dr. Rajendra Gartia, Dr. Ranjan Kumar Sahoo, Suru Munda and Pritipadma Sahu. A statistical analysis of the effect of social networking sites on students' academic performance in the western Odisha universities. Journal of Mathematical Problems, Equations and Statistics. 2023; 4(1): 05-09. DOI: 10.22271/math.2023.v4.i1a.74
