Intelligent fuzzy distributed computing approach to analyse the social media's impact on graduate student's mental health

Anju Khandelwal

doi:10.5269/bspm.78406

Anju Khandelwal School of Actuarial Science, Sri Balaji University Pune

Resumen

This study explores the application of fuzzy numbers in ranking Likert-scale responses, focusing on improving the accuracy and reliability of rankings in different research areas. By utilizing Cronbach’s alpha, we assess the internal consistency and reliability of the Likert-scale data collected from graduate students. The research applies a novel fuzzy ranking method which is multi-criteria decision-making (MCDM) to transform subjective ordinal data into a more robust, measurable format, addressing the limitations of traditional ranking methods. Through this approach, the paper aims to provide a more nuanced and reliable ranking system for surveys and questionnaires, ultimately enhancing the interpretation of Likert-scale data in various fields such as marketing, psychology, and education. The results highlighted the potential of fuzzy logic in refining data analysis and the importance of reliability measures and Cronbach’s alpha ensures data consistency. Also, resultant clustering effectively segments students based on patterns in their mental and physical health indicators.

Descargas

La descarga de datos todavía no está disponible.

Citas

J. A. Naslund, A. Bondre, J. Torous, and K. A. Aschbrenner, ”Social media and mental health: Benefits, risks, and opportunities,” J. Technol. Behav. Sci. 5 (2020), 245-257. https://doi.org/10.1007/s41347-020-00154-2

D. Lokesh, R. M. N. M., and A. Gopi, ”The effect of social media use on psychological wellbeing among university students,” Int. J. Community Med. Public Health 9 (2022), 877-881. https://doi.org/10.18203/2394-6040.ijcmph20221035

L. Sun, K. Li, L. Zhang, and Y. Zhang, ”Distinguishing the associations between evening screen time and sleep quality among different age groups: A population-based crosssectional study,” Front. Psychiatry 13 (2022), 1-8. https://doi.org/10.3389/fpsyt.2022.788883

R. E. Cardy, A. Dupuis, E. Anagnostou, J. Ziolkowski, E. A. Biddiss, S. Monga, J. Brian, M. Penner, and A. Kushki, ”Characterizing changes in screen time during the COVID19 pandemic school closures in Canada and its perceived impact on children with autism spectrum disorder,” Front. Psychiatry 12 (2021), 1-12. https://doi.org/10.3389/fpsyt.2021.763887

T. R. Finseras, G. J. Hjetland, B. Sivertsen, I. Colman, R. T. Hella, A. I. O. Aasen, and J. C. Skogen, ”Reexploring problematic social media use and its relationship with adolescent mental health,” Psychol. Res. Behav. Manag. 16 (2023), 5101-5111. https://doi.org/10.2147/PRBM.S417184

G. J. Hjetland, T. R. Finseras, B. Sivertsen, I. Colman, R. T. Hella, and J. C. Skogen, ”Focus on self-presentation on social media across sociodemographic variables, lifestyles, and personalities: A cross-sectional study,” Int. J. Environ. Res. Public Health 19 (2022), 1-21. https://doi.org/10.3390/ijerph191710975

H. Beyari, ”The relationship between social media and the increase in mental health problems,” Int. J. Environ. Res. Public Health 20 (2023), 1-11. https://doi.org/10.3390/ijerph20030894

A. H. M. Bradley and A. L. Howard, ”Stress and mood associations with smartphone use in university students: A 12-week longitudinal study,” SAGE Open 11 (2023), 921-941. https://doi.org/10.1177/21582440231177292

T. Saifuddin, A. Saifuddin, and S. Saleem, ”Exploring the nexus: Social media’s influence on mental health and eating behaviours in digital age,” Res. Gate 1 (2023), 4150. https://doi.org/10.13140/RG.2.2.14799.93600

A. Bahada, M. Shahwan, A. Alfaresi, S. Dashtinezhad, A. A. Jairoun, T. K. Babalola, and H. Yasin, ”Development, validation, and utilization of a social media use and mental health questionnaire among Middle Eastern and Western adults: A pilot study from the UAE,” Int. J. Environ. Res. Public Health 19 (2022), 1-18. https://doi.org/10.3390/ijerph192314701

P. M. Valkenburg, ”Social media use and well-being: What we know and what we need to know,” Psychiatry Res. 45 (2022), 1-8. https://doi.org/10.1016/j.psychres.2022.113059

N. S. AlHamad and K. AlAmri, ”The association between social media use and depressive symptoms among adults in Riyadh, Saudi Arabia,” J. Family Med. Primary Care 10 (2021), 3336-3342. https://doi.org/10.4103/jfmpc.jfmpc 214 21

S. Ghosh, B. S. Nandanur, A. Chakraborty, and N. V. Bhaskara, ”The effect of social media on mental health,” J. Family Med. 9 (2020), 5731-5735. https://doi.org/10.4103/jfmpc.jfmpc 1317 20

C. Ueno and S. Yamamoto, ”The relationship between behavioral problems and screen time in children during COVID-19 school closures in Japan,” Scand. J. Child Adolesc. Psychiatry Psychol. 10 (2022), 1-8. https://doi.org/10.16969/sjcapsy.2022.0001

A. Maimaiti, ”The impact of social media on mental health: Finding an antidote for the anxiety era,” Psychol. Res. 13 (2023), 366-397. https://doi.org/10.3844/jpr.2023.366397

M. Tavakol and R. Dennick, ”Making sense of Cronbach’s alpha,” Int. J. Med. Educ. 2 (2011), 53-55.

J.-S. R. Jang, ”ANFIS: adaptive-network-based fuzzy inference system,” IEEE Trans. Syst. Man Cybern. 23 (1993), 665-685.

J. M. Mendel and R. I. John, ”Type-2 fuzzy sets made simple,” IEEE Trans. Fuzzy Syst. 10 (2002), 117-127.

B. Kosko, ”Fuzzy systems as universal approximators,” IEEE Trans. Comput. 43 (1994), 1329-1333.

A. Trindade and J. Campos, ”Fuzzy logic applications in mental health assessment,” J. Intell. Fuzzy Syst. 44 (2023), 1245-1260.

T. Kyriazos and M. Poga, ”Exploring Fuzzy Logic as an Alternative Approach in Psychological Scoring,” Open Psychol. J. 17 (2024), 1874-3501. https://doi.org/10.2174/0118743501337527241125044301

X. Li, ”Using fuzzy decision support to create a positive mental health environment for preschoolers,” Sci. Rep. 15 (2025), 12339. https://doi.org/10.1038/s41598-025-96543-0

A. Khandelwal, V. Kumar, and A. Kumar, ”An experiential study of the antecedents and consequences of vernacular language in higher education,” Cuest. Fisioter., 54(1), 2025, pp. 496-509. https://doi.org/10.48047/t2f9j073.

A. Khandelwal, A. Tandon, and A. Kumar, ”An experiential study on the role and inclusion of Indian languages for generating employment opportunity”, Int. J. Knowl. Learn., 16(2), Jan. 2023, pp. 171-185. https://doi.org/10.1504/IJKL.2022.10048424.