Research Article
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Year 2025, Volume: 9 Issue: 1, 5 - 28, 24.06.2025

Ercan Yilmaz , Abdullah Aktürk

https://doi.org/10.54535/rep.1666895

Abstract

References

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Brain Rot: A Scale Development Study

Year 2025, Volume: 9 Issue: 1, 5 - 28, 24.06.2025

Ercan Yilmaz , Abdullah Aktürk

https://doi.org/10.54535/rep.1666895

Abstract

In this research, it was aimed to develop a valid and reliable measurement tool to determine the brain rot levels of individuals. The research study group was formed by selecting among the Alpha generation individuals who are accepted to use social media more intensively. In the scale development process, draft scale development, EFA, CFA, test-retest, and known group validity methods were used. Cronbach's Alpha and McDonald's Omega coefficients were calculated for the reliability analyses of the scale. According to the findings obtained as a result of the analyses, the scale consists of four dimensions and 18 items. The scale dimensions are cognitive load, cognitive fatigue, emulation, and depersonalization. The fit indices of the structure obtained with CFA are acceptable and good fit level. Cronbach's Alpha and McDonald's Omega coefficients calculated for the reliability of the scale are above 0.70. According to the methods of test-retest and known group validity methods, the developed scale makes measurements that are stable and can distinguish different groups. As a result of all analyses, it was determined that the developed brain rot scale is a valid and reliable measurement tool.

Keywords

Brain rot Cognitive load Scale development

References

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  • Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of addictive behaviors, 30(2), 252.
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  • Castro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021). Five strategies for optimizing instructional materials: Instructor-and learner-managed cognitive load. Educational Psychology Review, 33(4), 1379-1407.
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  • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 1-9. https://doi.org/10.7275/jyj1-4868
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  • Çömlekçi, M. F., & Başol, O. (2019). Gençlerin sosyal medya kullanım amaçları ile sosyal medya bağımlılığı ilişkisinin incelenmesi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 17(4), 173-188.
  • DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage Publications.
  • DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications. Sage publications.
  • Dinh, T. C. T. and Lee, Y. (2021). “i want to be as trendy as influencers” – how “fear of missing out” leads to buying intention for products endorsed by social media influencers. Journal of Research in Interactive Marketing, 16(3), 346-364. https://doi.org/10.1108/jrim-04-2021-0127
  • Dolan E.W. (2025). Does TikTok really cause brain rot? New study links short video addiction to brain abnormalities. https://www.psypost.org/does-tiktok-really-cause-brain-rot-new-study-links-short-video-addiction-to-brain-abnormalities/?utm_source=chatgpt.com
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  • Fırat, N., & Barut, Y. (2018). Development of social media addiction scale: Validity and reliability study. Journal of Human Sciences, 15(4), 2266-2279.
  • Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.
  • Fisher, J. (2023). Cognitive and perceptual load have opposing effects on brain network efficiency and behavioral variability in adhd. Network Neuroscience, 7(4), 1483-1496. https://doi.org/10.1162/netn_a_00336
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
  • Hari J. (2022). Çalınan Dikkat. Neden Odaklanamıyoruz? Metis Yayınları
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179-185. https://doi.org/10.1007/BF02289447
  • Horoszkiewicz, B. (2022). Digital dementia and its impact on human cognitive and emotional functioning. Journal of Education, Health and Sport, 12(11), 290-296.
  • Howie, E. E., Dharanikota, H., Gunn, E., Ambler, O., Dias, R., Wigmore, S. J., ... & Yule, S. (2023). Cognitive load management: an invaluable tool for safe and effective surgical training. Journal of Surgical Education, 80(3), 311-322.
  • Itskovich, E., Zyga, O., Libove, R., Phillips, J., Garner, J., & Parker, K. (2020). Complex interplay between cognitive ability and social motivation in predicting social skill: a unique role for social motivation in children with autism. Autism Research, 14(1), 86-92. https://doi.org/10.1002/aur.2409
  • Javed, H., Azimullah, S., Haque, M., & Ojha, S. (2016). Cannabinoid type 2 (cb2) receptors activation protects against oxidative stress and neuroinflammation associated dopaminergic neurodegeneration in rotenone model of parkinson's disease. Frontiers in Neuroscience, 10. https://doi.org/10.3389/fnins.2016.00321
  • Javed, H., Azimullah, S., Meeran, M., Ansari, S., & Ojha, S. (2019). Neuroprotective effects of thymol, a dietary monoterpene against dopaminergic neurodegeneration in rotenone-induced rat model of parkinson’s disease. International Journal of Molecular Sciences, 20(7), 1538. https://doi.org/10.3390/ijms20071538
  • Kaur, H., Chauhan, S., & Sandhir, R. (2011). Protective effect of lycopene on oxidative stress and cognitive decline in rotenone induced model of parkinson’s disease. Neurochemical Research, 36(8), 1435-1443. https://doi.org/10.1007/s11064-011-0469-3
  • Kelly, M., Duff, H., Kelly, S., Power, J., Brennan, S., Lawlor, B., … & Loughrey, D. (2017). The impact of social activities, social networks, social support and social relationships on the cognitive functioning of healthy older adults: a systematic review. Systematic Reviews, 6(1). https://doi.org/10.1186/s13643-017-0632-2
  • Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
  • Lee, S. and Kim, Y. (2016). Which type of social activities may reduce cognitive decline in the elderly?: a longitudinal population-based study. BMC Geriatrics, 16(1). https://doi.org/10.1186/s12877-016-0343-x
  • Mader, B. J., Pivtoraiko, V. N., Flippo, H. M., Klocke, B. J., Roth, K. A., Mangieri, L. R., … & Shacka, J. J. (2012). Rotenone inhibits autophagic flux prior to inducing cell death. ACS Chemical Neuroscience, 3(12), 1063-1072. https://doi.org/10.1021/cn300145z
  • Mahato, A., Gayen, P., & Mahato, R. (2023). Relationship between cognitive failure and internet addiction of higher secondary students of purulia district of west bengal: a study. Innovare Journal of Education, 15-19. https://doi.org/10.22159/ijoe.2023v11i3.47682
  • Manjunath, M. and Muralidhara, (2013). Effect of withania somnifera supplementation on rotenone-induced oxidative damage in cerebellum and striatum of the male mice brain. Central Nervous System Agents in Medicinal Chemistry, 13(1), 43-56. https://doi.org/10.2174/1871524911313010007
  • McCrindle, M., & Fell, A. (2021). Generation Alpha. Hachette Australia.
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Details

Primary Language English
Subjects Scale Development
Journal Section Articles
Authors

Ercan Yilmaz 0000-0003-4702-1688

Abdullah Aktürk 0000-0003-1104-2655

Early Pub Date June 24, 2025
Publication Date June 24, 2025
Submission Date March 27, 2025
Acceptance Date May 24, 2025
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Yilmaz, E., & Aktürk, A. (2025). Brain Rot: A Scale Development Study. Research on Education and Psychology, 9(1), 5-28. https://doi.org/10.54535/rep.1666895
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