Psychometric Properties of the Social Media Addiction Scale (SMAS) on Chilean University Students
DOI:
https://doi.org/10.56294/dm202391Keywords:
Psychometric Properties, Social Media Addiction, University Students, Mental HealthAbstract
Introduction: the use and abuse of social networks are harming the mental health of university students.
Objective: to adapt and validate the Social Media Addiction Scale (SMAS) for the Chilean context to have a reliable instrument to measure addiction to social networks. The sample comprised 686 university students (mean age=28,04, SD=8,4), 71,1 % female, 28,4 % male, and 0,5 % other genders.
Methods: confirmatory factor analysis (CFA) using the weighted least squares means and variances method (WLSMV) was used for this study.
Results: reliability was Cronbach's alpha α=0,841. The SMAS yielded two factors that explained 53,433 % of the variance. The CFA yielded very good fit indicators such as CFI=0,959, TLI=0,949, and RMSEA=0,060.
Conclusions: based on the results described above, we can affirm that the SMAS is a good instrument to measure social network addiction in college students
References
REFERENCES
1. Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research (JBER), 14(1), 33–44.
2. Al-Menayes, J. J. (2015). Dimensions of social media addiction among university students in Kuwait. Psychology and Behavioral Sciences, 4(1), 23–28.
3. Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center, 31(2018), 1673–1689.
4. Antúnez Sanhueza, Z., & Vinet, E. V. (2013). Mental health problems among students of a regional Chilean university [Problemas de salud mental en estudiantes de una universidad regional chilena]. Revista Médica de Chile, 141(2), 209–216. https://doi.org/10.4067/S0034-98872013000200010
5. Antúnez, Z., & Vinet, E. (2012). Escalas de depresión, ansiedad y estrés (DASS - 21): Validación de la versión abreviada en estudiantes universitarios Chilenos. Terapia Psicologica, 30(3), 49–55. https://doi.org/10.4067/S0718-48082012000300005
6. Bibi, A., Bukhari, S., Sami, A., Irfan, A., & Liaqaut, H. (2018). Effect of latest technology and social media on interpersonal communication on youth of Balochistan. Journal of Managerial Sciences, XI (3), 475–490.
7. Britt, S. L., Ammerman, D. A., Barrett, S. F., & Jones, S. (2017). Student Loans, Financial Stress, and College Student Retention. Journal of Student Financial Aid, 47(1), 3.
8. Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 14.
9. Carr, C. T., & Hayes, R. A. (2015). Social media: Defining, developing, and divining. Atlantic Journal of Communication, 23(1), 46–65.
10. Chen, B., Sun, J., & Feng, Y. (2020). How have COVID-19 isolation policies affected young people’s mental health?–Evidence from Chinese college students. Frontiers in Psychology, 11, 1529.
11. Chen, Y., Li, X., & Zhang, S. (2019). Joint maximum likelihood estimation for high-dimensional exploratory item factor analysis. Psychometrika, 84, 124–146.
12. Cheng, C., & Lau, Y.-C. (2022). Social Media Addiction during COVID-19-Mandated Physical Distancing: Relatedness Needs as Motives. International Journal of Environmental Research and Public Health, 19(8).
13. Chua, T. H. H., & Chang, L. (2016). Follow me and like my beautiful selfies: Singapore teenage girls’ engagement in self-presentation and peer comparison on social media. Computers in Human Behavior, 55, 190–197.
14. Coskun, S., & Muslu, G. K. (2019). Investigation of Problematic Mobile Phones Use and Fear of Missing Out (FoMO) Level in Adolescents. COMMUNITY MENTAL HEALTH JOURNAL, 55(6), 1004–1014. https://doi.org/10.1007/s10597-019-00422-8
15. Cristi-Montero, C., Sadarangani, K. P., Garrido-Méndez, A., Poblete-Valderrama, F., Díaz-Martínez, X., & Celis-Morales, C. (2019). Relación entre niveles de actividad física y sedentarismo con síndrome metabólico. ENS Chile 2009-2010. Salud Pública de México, 61, 166–173.
16. Dalvi-Esfahani, M., Niknafs, A., Kuss, D. J., Nilashi, M., & Afrough, S. (2019). Social media addiction: Applying the DEMATEL approach. Telematics and Informatics, 43, 101250.
17. D’Arienzo, M. C., Boursier, V., & Griffiths, M. D. (2019). Addiction to Social Media and Attachment Styles: A Systematic Literature Review. INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, 17(4), 1094–1118. https://doi.org/10.1007/s11469-019-00082-5
18. El-Khoury, J., Haidar, R., Kanj, R. R., Bou Ali, L., & Majari, G. (2021). Characteristics of social media ‘detoxification’ in university students. Libyan Journal of Medicine, 16(1).
19. Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women’s body image concerns and mood. Body Image, 13, 38–45.
20. Farooqi, H., Patel, H., Aslam, H. M., Ansari, I. Q., Khan, M., Iqbal, N., Rasheed, H., Jabbar, Q., Khan, S. R., Khalid, B., Nadeem, A., Afroz, R., Shafiq, S., Mustafa, A., & Asad, N. (2013). Effect of Facebook on the life of Medical University students. International Archives of Medicine, 6(1), 1. https://doi.org/10.1186/1755-7682-6-40
21. Garrido-Méndez, A., Concha-Cisternas, Y., Petermann-Rocha, F., Díaz-Martínez, X., Leiva, A. M., Troncoso, C., Martinez, M. A., Salas-Bravo, C., Álvarez, C., & Ramírez-Campillo, R. (2019). Influencia de la edad sobre el cumplimiento de las recomendaciones de actividad física: Resultados de la Encuesta Nacional de Salud en Chile 2009-2010. Revista Chilena de Nutrición, 46(2), 121–128.
22. Han, X., Han, W., Qu, J., Li, B., & Zhu, Q. (2019). What happens online stays online?——Social media dependency, online support behavior and offline effects for LGBT. Computers in Human Behavior, 93, 91–98.
23. Haug, S., Paz Castro, R., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015). Smartphone use and smartphone addiction among young people in Switzerland. Journal of Behavioral Addictions, 4(4), 299–307. https://doi.org/10.1556/2006.4.2015.037
24. Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. Electronic Journal of Business Research Methods ·, 6(1), 53–60. https://www.researchgate.net/publication/254742561
25. Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1).
26. Ismail, M. M., El Shorbagy, K. M., Mohamed, A. R., & Griffin, S. H. (2020). Cross-cultural adaptation and validation of the Arabic version of the Western Ontario Shoulder Instability Index (WOSI-Arabic). Orthopaedics & Traumatology: Surgery & Research, 106(6), 1135–1139. https://doi.org/10.1016/J.OTSR.2020.04.006
27. Javornik, A., Marder, B., Barhorst, J. B., McLean, G., Rogers, Y., Marshall, P., & Warlop, L. (2022). ‘What lies behind the filter?’Uncovering the motivations for using augmented reality (AR) face filters on social media and their effect on well-being. Computers in Human Behavior, 128, 107126.
28. Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567–579.
29. Kariv, D., & Heiman, T. (2005). Task-oriented versus emotion-oriented coping strategies: The case of college students. College Student Journal, 39(1).
30. Kemp, S. (2023, January 26). Digital 2023: Global Overview Report. https://datareportal.com/reports/digital-2023-global-overview-report?utm_source=DataReportal&utm_medium=Article&utm_campaign=Digital_2023&utm_content=Article_Hyperlink
31. Khan, S. M., Gumus, A., Nassar, J. M., & Hussain, M. M. (2018). CMOS enabled microfluidic systems for healthcare based applications. Advanced Materials, 30(16), 1705759.
32. Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guildford Press.
33. Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311.
34. Lemos Hoyos, M., & Londoño Arredondo, N. H. (2006). Construcción y validación del cuestionario de dependencia emocional en población colombiana. Acta Colombiana de Psicología, 9(2), 127–140.
35. Malaeb, D., Salameh, P., Barbar, S., Awad, E., Haddad, C., Hallit, R., Sacre, H., Akel, M., Obeid, S., & Hallit, S. (2021). Problematic social media use and mental health (depression, anxiety, and insomnia) among Lebanese adults: Any mediating effect of stress? Perspectives in Psychiatric Care, 57(2), 539–549.
36. Márquez Benza, K. (2021). Adicción a redes sociales y satisfacción familiar en adolescentes de un colegio privado de Lima Metropolitana.
37. Martínez-Líbano, J., González Campusano, N., & Pereira Castillo, J. (2022). Las Redes Sociales y su Influencia en la Salud Mental de los Estudiantes Universitarios: Una Revisión Sistemática. REIDOCREA, 11(4), 44–57.
38. Martínez-Libano, J., Torres-Vallejos, J., Campusano, N. G., Castillo, J. P., Simkin, H., Oyanedel, J. C., & Yeomans, M. M. (2023). Psychometric Properties and Measurement Invariance of The Fear of Missing Out Scale (FoMOs) In Chilean University Students. Salud, Ciencia y Tecnologia, 3:328. https://doi.org/10.56294/saludcyt2023328
39. Martínez-Líbano, J., Torres-Vallejos, J., Oyanedel, J. C., González-Campusano, N., Calderón-Herrera, G., & Yeomans-Cabrera, M. M. (2023). Prevalence and variables associated with depression, anxiety, and stress among Chilean higher education students, post-pandemic. Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1139946
40. Martínez-Líbano, J., & Yeomans Cabrera, M. M. (2021). SUICIDAL IDEATION AND SUICIDAL THOUGHTS IN UNIVERSITY STUDENTS DURING THE COVID-19 PANDEMIC: A SYSTEMATIC REVIEW. Revista Argentina de Clinica Psicologica, 30(2), 390–405. https://doi.org/10.24205/03276716.2020.40
41. Martínez-Líbano, J., Yeomans Cabrera, M. M., González Campusano, N., & Campos Flores, E. (2021). Emotional Exhaustion and Mental Health in a Sample of Chilean Social Science Students During the COVID-19 Pandemic. {PSOCIAL} Journal of Research in Social Psychology, 7(2), 69–81. https://www.redalyc.org/journal/6723/672371742002/html/
42. McCrae, N., Gettings, S., & Purssell, E. (2017). Social media and depressive symptoms in childhood and adolescence: A systematic review. Adolescent Research Review, 2, 315–330.
43. Metin-Orta, I. (2020). Fear of Missing Out , Internet Addiction and Their Relationship to Psychological Symptoms. ADDICTA-THE TURKISH JOURNAL ON ADDICTIONS, 7(1), 67–73. https://doi.org/10.15805/addicta.2020.7.1.0070
44. Moreton, L., & Greenfield, S. (2022). University students’ views on the impact of Instagram on mental wellbeing: a qualitative study. BMC PSYCHOLOGY, 10(1). https://doi.org/10.1186/s40359-022-00743-6
45. Murff, S. H. (2005). The impact of stress on academic success in college students. ABNF JOURNAL, 16(5), 102.
46. Napitupulu, D., Kadar, J. A., & Jati, R. K. (2017). Validity testing of technology acceptance model based on factor analysis approach. Indonesian Journal of Electrical Engineering and Computer Science, 5(3), 697–704.
47. Nazar, G., Gatica-Saavedra, M., Provoste, A., Leiva, A. M., Martorell, M., Ulloa, N., Petermann-Rocha, F., Troncoso-Pantoja, C., Celis-Morales, C., Nazar, G., Gatica-Saavedra, M., Provoste, A., Leiva, A. M., Martorell, M., Ulloa, N., Petermann-Rocha, F., Troncoso-Pantoja, C., & Celis-Morales, C. (2021). Factores asociados a depresión en población chilena. Resultados Encuesta Nacional de Salud 2016-2017. Revista Médica de Chile, 149(10), 1430–1439. https://doi.org/10.4067/s0034-98872021001001430
48. Odoi, B., Twumasi-Ankrah, S., Samita, S., & Al-Hassan, S. (2022). The Efficiency of Bartlett’s Test using Different forms of Residuals for Testing Homogeneity of Variance in Single and Factorial Experiments-A Simulation Study. Scientific African, e01323.
49. Pantic, I., Milanovic, A., Loboda, B., Błachnio, A., Przepiorka, A., Nesic, D., Mazic, S., Dugalic, S., & Ristic, S. (2017). Association between physiological oscillations in self-esteem, narcissism and internet addiction: A cross-sectional study. Psychiatry Research, 258, 239–243.
50. Ponnusamy, S., Iranmanesh, M., Foroughi, B., & Hyun, S. S. (2020). Drivers and outcomes of Instagram Addiction: Psychological well-being as moderator. Computers in Human Behavior, 107, 106294.
51. Popat, A., & Tarrant, C. (2023). Exploring adolescents’ perspectives on social media and mental health and well-being–A qualitative literature review. Clinical Child Psychology and Psychiatry, 28(1), 323–337.
52. Prabakar, S. (2017). Internet Surfing Addiction factors affecting the Internet use and its consequences. International Journal in Management & Social Science, 5(8), 398–406.
53. Quaglieri, A., Biondi, S., Roma, P., Varchetta, M., Fraschetti, A., Burrai, J., Lausi, G., Martí-Vilar, M., González-Sala, F., & Di Domenico, A. (2021). From emotional (Dys) regulation to internet addiction: a mediation model of problematic social media use among italian young adults. Journal of Clinical Medicine, 11(1), 188.
54. Radtke, T., Apel, T., Schenkel, K., Keller, J., & von Lindern, E. (2022). Digital detox: An effective solution in the smartphone era? A systematic literature review. Mobile Media & Communication, 10(2), 190–215.
55. Raj, P., & Raman, A. C. (2017). The Internet of Things: Enabling technologies, platforms, and use cases. CRC press.
56. Reid Chassiakos, Y. L., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., Hill, D., Ameenuddin, N., Hutchinson, J., Levine, A., & Boyd, R. (2016). Children and adolescents and digital media. Pediatrics, 138(5).
57. Richardson, T., Elliott, P., Roberts, R., & Jansen, M. (2017). A longitudinal study of financial difficulties and mental health in a national sample of British undergraduate students. Community Mental Health Journal, 53, 344–352.
58. Rossi, J., Jimenez, J., Barros, P., Assar, R., Jaramillo, K., Herrera, L., Quevedo, Y., Botto, A., Leighton, C., & Martinez, F. (2019). Depressive symptomatology and psychological well-being among Chilean university students. REVISTA MEDICA DE CHILE, 147(5), 579–588. https://doi.org/10.4067/S0034-98872019000500579
59. Satici, B., Kayis, A. R., & Griffiths, M. D. (2021). Exploring the Association Between Social Media Addiction and Relationship Satisfaction: Psychological Distress as a Mediator. INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION. https://doi.org/10.1007/s11469-021-00658-0
60. Savci, M., & Griffiths, M. D. (2021). The Development of the Turkish Social Media Craving Scale (SMCS): a Validation Study. INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, 19(2), 359–373. https://doi.org/10.1007/s11469-019-00062-9
61. Schwieger, D., & Ladwig, C. (2018). Reaching and retaining the next generation: Adapting to the expectations of Gen Z in the classroom. Information Systems Education Journal, 16(3), 45.
62. Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016). Social networking sites, depression, and anxiety: a systematic review. JMIR Mental Health, 3(4), e5842.
63. Shim, T. E., & Lee, S. Y. (2020). College students’ experience of emergency remote teaching due to COVID-19. Children and Youth Services Review, 119, 105578.
64. Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11.
65. Spencer, T. A., Lambertsen, A., Hubler, D. S., & Burr, B. K. (2017). Assessing the mediating effect of relationship dynamics between perceptions of problematic media use and relationship satisfaction. Contemporary Family Therapy, 39, 80–86.
66. Stanculescu, E., & Griffiths, M. D. (2021). Anxious Attachment and Facebook Addiction: The Mediating Role of Need to Belong, Self-esteem, and Facebook Use to Meet Romantic Partners. INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION. https://doi.org/10.1007/s11469-021-00598-9
67. Tandon, A., Kaur, P., Dhir, A., & Mäntymäki, M. (2020). Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene. Computers in Human Behavior, 113, 106487.
68. Tateno, M., Teo, A. R., Ukai, W., Kanazawa, J., Katsuki, R., Kubo, H., & Kato, T. A. (2019). Internet addiction, smartphone addiction, and Hikikomori trait in Japanese young adult: social isolation and social network. Frontiers in Psychiatry, 10, 455.
69. Tembo, C., Burns, S., & Kalembo, F. (2017). The association between levels of alcohol consumption and mental health problems and academic performance among young university students. PLoS One, 12(6), e0178142.
70. Torres, C., Otero, P., Bustamante, B., Blanco, V., Diaz, O., & Vazquez, F. L. (2017). Mental Health Problems and Related Factors in Ecuadorian College Students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 14(5). https://doi.org/10.3390/ijerph14050530
71. Tsay, S., Mu, P., Lin, S., Wang, K. K., & Chen, Y. (2013). The experiences of adult ventilator‐dependent patients: A meta‐synthesis review. Nursing & Health Sciences, 15(4), 525–533.
72. Wang, J. (2017). Analysis of the Role of New Media in University Students’ Mental Health Education System. EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 13(10), 6979–6985. https://doi.org/10.12973/ejmste/78711
73. Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons.
74. Wang, T., Wong, J. Y. H., Wang, M. P., Li, A. C. Y., Kim, S. S., & Lee, J. J. (2021). Effects of Social Networking Service (SNS) Addiction on Mental Health Status in Chinese University Students: Structural Equation Modeling Approach Using a Cross-sectional Online Survey. JOURNAL OF MEDICAL INTERNET RESEARCH, 23(12). https://doi.org/10.2196/26733
75. Watson, J. C. (2017). Establishing evidence for internal structure using exploratory factor analysis. Measurement and Evaluation in Counseling and Development, 50(4), 232–238.
76. Xiao, C., Ye, J., Esteves, R. M., & Rong, C. (2016). Using Spearman’s correlation coefficients for exploratory data analysis on big dataset. Concurrency and Computation: Practice and Experience, 28(14), 3866–3878.
77. Yesilyurt, F., & Solpuk Turhan, N. (2020). Prediction of the Time Spent on Instagram by Social Media Addiction and Life Satisfaction. Cypriot Journal of Educational Sciences, 15(2), 208–219.
78. Yusof, M., Aw, N., & Ls, S. (2022). Prevalence of Problematic Internet Use and its Association with Psychological Distress and Coping Strategies among Universiti Teknologi Mara Students during the COVID - 19 Pandemic. 21(3), 109–118.
79. Zhang, X., & Savalei, V. (2016). Bootstrapping confidence intervals for fit indexes in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 23(3), 392–408.
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