STRUCTURAL ANALYSIS OF THE SMARTPHONE DEPENDENCE AND ADDICTION SCALE (EDAS) IN PERUVIAN UNIVERSITY STUDENTS
DOI:
https://doi.org/10.21134/haaj.v21i2.572Keywords:
Adicción, dependencia, Smartphone, universitarios.Abstract
The Smartphone is used for multiple purposes, both professional and personal ones. Its versatility, the normalization and the generalization of its use can generate dysfunctional or even addictive behavior. An emerging problem necessitates the development and review of instruments to evaluate the person-Smartphone interactions. Aim. To analyze the evidence of content validity, internal structure and reliability of the Smartphone Addiction Scale (SAS). Method. Instrumental study with 328 Peruvian university students with ages between 17 and 41 years old (79.6% women; M = 28.48 SD = 4.23). The Smartphone Dependence and Addiction Scale (SAS) was applied. Results. Confirmatory factor analysis showed better fit indices (CFI = .930; RMSEA = .072, CI90% .065- .079; WRMR = 1.220) for the unidimensional model with 23 items of the SAS, and good construct reliability (ω =. 934). Conclusion. SAS has adequate psychometric properties for the measurement of smartphone addiction in Peruvian university students, indicating a 23-item unidimensional instrument.
Downloads
References
Ahad, A. D., & Anshari, M. (2017). Smartphone Habits Among Youth: Uses and Gratification Theory. International Journal of Cyber Behavior, Psychology and Learning, 7(1), 65-75. https://doi.org/10.4018/IJCBPL.2017010105
Akin, A., & Iskender, M. (2011). Internet addiction and depression, anxiety and stress. International Online Journal of Educational Sciences, 3(1), 138-148.
Aranda, M., Fuentes, V., & García-Domingo, M. (2017). "No sin mi Smartphone": Elaboración y validación de la Escala de Dependencia y Adicción al Smartphone (EDAS). Terapia Psicológica, 35(1), 35-45.
Arnavut, A., Nuri, C., & Direktör, C. (2018). Examination of the relationship between phone usage and smartphone addiction based on certain variables. Anales de Psicología, 34(3), 446-450. https://doi.org/10.6018/analesps.34.3.321351
Asociación Médica Mundial. (1964). Declaración de Helsinki. AMM. http://www.conamed.gob.mx/prof_salud/pdf/helsin ki.pdf
Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39-51.
Billieux, J., Maurage, P., López-Fernández, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156-162. https://doi.org/10.1007/s40429-015-0054-y
Brugal, M. T., Rodríguez-Martos, A., & Villalbí, J. R. (2006). Nuevas y viejas adicciones: implicaciones para la salud pública. Gaceta Sanitaria, 20(1), 55-62.
Carbonell, X., Fúster, H., Chamarro, A., & Oberst, U. (2012). Adicción a internet y móvil: una revisión de estudios empíricos españoles. Papeles del psicólogo, 33(2), 82-89.
Centeno, D. A., & Coral N. E. (2019). Adicción al celular y autoestima en estudiantes de psicología clínica. Universidad Nacional de Chimborazo. Riobamba, 2018-2019. [Tesis Doctoral, Universidad nacional de Chimborazo]. UNACH database. https://bit.ly/39iDxa1
Chen, C., Zhang, K. Z., Gong, X., Zhao, S. J., Lee, M. K., & Liang, L. (2017). Understanding compulsive smartphone use: An empirical test of a flow-based model. International Journal of Information Management, 37(5), 438-454. https://doi.org/10.1016/j.ijinfomgt.2017.04.009
Cholán, O.R. (2020). Adicción al celular y rasgos de personalidad en estudiantes universitarios en enfermería, Cajarmarca. [Tesis Doctoral, Universidad Privada Antonio Guillermo Urrelo]. University database. https://bit.ly/2uOEgkd
Chóliz, M. (2012). Mobile-phone addiction in adolescence: The Test of Mobile Phone Dependence (TMD). Progress in Health Sciences, 2(1), 33-44.
Chóliz, M., Villanueva, V., & Chóliz, M. C. (2009). Ellas, ellos y su móvil: Uso, Abuso (¿y dependencia?) del teléfono móvil en la adolescencia. Revista española de drogodependencia, 1, 74-88.
Choudhurry, S., Saha, I., Som, T. K., Ghose, G., Patra, M., y Paul, B. (2019). Mobile phone involvement and dependence among undergraduate medical students in a medical college of west Bengal, India. Journal of Education and Health Promotion, 8(1), e1. https://doi.org/10.4103/jehp.jehp_134_18
Cía, H. A. (2017). Las adicciones no relacionadas a sustancias (DSM-5, APA, 2013): un primer paso hacia la inclusión de las Adicciones Conductuales en las clasificaciones categoriales vigentes. Inmanencia, 6(1), 32-37.
Colegio de Psicólogos del Perú (2017). Código de ética y deontología. Recuperado de: https://www.cpsp.pe/documentos/marco_legal/codigo_de_etica_y_deontologia.pdf
Cruz-Sotelo, S. E., Ojeda-Benitez, S., Bovea, M. D., Santillán-Soto, N., Favela-Ávila, H., & Aguilar, W. E. (2013). Hábitos y prácticas de consumo de teléfonos celulares en México y España. Revista internacional de Contaminación Ambiental, 29(3), 33-41.
Cutino, C. M., & Nees, M. A. (2017). Restricting Mobile phone access during homework increases attainment of study goals. Mobile Media & Communication, 5(1), 63-79. https://doi.org/10.1177/2050157916664558
DiStefano, C., Liu, J., Jiang, N., & Shi, D. (2018). Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 453-466. https://doi.org/10.1080/10705511.2017.1390394
Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of behavioral addictions, 4(2), 85-92.
Dominguez-Lara, S. (2018). Propuesta de puntos de corte para cargas factoriales: una perspectiva de fiabilidad de constructo. Enfermería Clínica, 28(6), 401-402.
Dominguez-Lara, S. (2019). Correlación entre residuales en análisis factorial confirmatorio: una breve guía para su uso e interpretación. Interacciones, 5(3), e207. https://doi.org/10.24016/2019.v5n3.207
Dominguez-Lara, S., & Merino-Soto, C. (2018). Evaluación de las malas especificaciones en modelos de ecuaciones estructurales. Revista Argentina de Ciencias del Comportamiento, 10(2), 19-24.
Echeburúa, E., & Corral, P. (2010). Adicción a las nuevas tecnologías y a las redes sociales en jóvenes: un nuevo reto. Adicciones, 22(2), 91-96.
Elhai, J. D., Levine, J. C., & Hall, B. J. (2019). Problematic smartphone use and mental health problems: current state of research and future directions. Dusunen Adam, 32(1), 1-3.
Elhai, J. D., Rozgonjuk, D., Yildirim, C., Alghraibeh, A. M., & Alafnan, A. A. (2019). Worry and anger are associated with latent classes of problematic smartphone use severity among college students. Journal of Affective Disorders, 246, 209–216. https://doi.org/10.1016/j.jad.2018.12.047
Emanuel, R., Bell, R., Cotton, C., Craig, J., Drummond, D., Gibson, S., Harris, A., Harris, M., Hatcher-Vance, Ch., Jones, S. Lewis, J. Longmire, T., Nash B., Ryans T., Tyre, E. Walters, D. & Williams, A. (2015). The truth about smartphone addiction. College Student Journal, 49(2), 291-299.
Gamero, K., Flores, C., Arias, W. L., Ceballos, K. D., Román, A., & Marquina, E. (2016). Estandarización del Test de Dependencia al Celular para estudiantes universitarios de Arequipa. Persona, (19), 179-200.
García del Castillo, J. A. (2013). Adicciones tecnológicas: el auge de las redes sociales. Health and Addictions/Salud y Drogas, 13(1), 5-13.
Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis. Prentice Hall.
Herrera, K., Gil, L., & Acuña, M. (2017). Motivación de jóvenes universitarios hacia el uso de teléfonos celulares. Encuentros, 15(1), 91-105.
Hu, L., & Bentler, P.M. (1998). Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424-453. https://doi.org/10.1037/1082-989X.3.4.424
Imani, S., Goradel, J. A., Mousavi, S., & Noroozi, A. (2019). Internal Consistency and Confirmatory Factor Analysis of Smartphone Addiction Inventory (SPAI). Iranian Journal of Psychiatry and Behavioral Sciences, 13 (2): e55958. https://doi.org/10.5812/ijpbs.55958
Instituto Nacional de Estadística e Informática [INEI]. (2018). Encuesta Nacional de Hogares sobre Condiciones de Vida y Pobreza 2017. Lima, Perú. Obtenido de https://webinei.inei.gob.pe/anda_inei/index.php/catalog/613
Jacobsen, W. C., & Forste, R. (2011). The Wired Generation: Academic and Social Outcomes of Electronic Media Use Among University Students. Cyberpsychology, Behavior and Social Networking, 14(5), 275-280. https://doi.org/10.1089/cyber.2010.0135
Jeong, S. H., Kim, H., Yum, J. Y., & Hwang, Y. (2016). What type of content are smartphone users addicted to? SNS vs. games. Computers in Human Behavior, 54, 10–17. http://dx.doi.org/10.1016/j.chb.2015.07.035
Kardefelt-Winther, D., Heeren, A., Schimmenti, A., van Rooij, A., Maurage, P., Carras, M., Edman, J., Blaszczynski, A., Khazaal, Y., & Billieux, J. (2017). How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction, 112(10), 1709–1715. http://dx.doi.org/10.1111/add.13763
Kibona, L., & Mgaya, G. (2015). Smartphones' Effects on Academic Performance of Higher Learning Students. Journal of Multidisciplinary Engineering Science and Technology, 2(4), 777-784.
Kim, H. J., & Kim, J. S. (2015). The relationship between smartphone use and subjective musculoskeletal symptoms and university students. Journal of physical therapy science, 27(3), 575-579.
Kim, K., Jung, G., Jung, H., Ko, M., & Lee, U. (2017). Let’s FOCUS: Mitigating Mobile Phone Use in College Classrooms. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 63-91. https://doi.org/10.1145/3130928
Kim, I., Kim, R., Kim, H., Kim, D., Han, K., Lee, P. H., Mark, G. & Lee, U. (2019). Understanding smartphone usage in college classrooms: A long-term measurement study. Computers & Education, 103611. https://doi.org/10.1016/j.compedu.2019.103611
Kline, R.B. (2016). Principles and practice of structural equation modeling. (4th ed.). New York: The Guilford Press.
Kuss, D. J., Kanjo, E., Crook-Rumsey, M., Kibowski, F., Wang, G. Y., & Sumich, A. (2018). Problematic mobile phone use and addiction across generations: The roles of psychopathological symptoms and smartphone use. Journal of Technology in Behavioral Science. http://dx.doi.org/10.1007/s41347-017-0041-3
Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: development and validation of a short version for adolescents. PloS one, 8(12), e8355. https://doi.org/10.1371/journal.pone.0083558
Laurence, P. G., Busin, Y., da Cunha Lima, H. S., & Macedo, E. C. (2020). Predictors of problematic smartphone use among university students. Psicologia: Reflexão e Crítica, 33(1), 8. https://doi.org/10.1186/s41155-020-00147-8
Lee, E. B. (2015). Too much information: heavy smarthphone and Facebook utilization by African American young adults. Journal of Black Studies, 46(1), 44-61. https://doi.org/10.1177/0021934714557034
Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in human behavior, 31, 373-383. https://doi.org/10.1016/j.chb.2013.10.047
Leiva-Gutiérrez, J., & Urzúa, P. (2019). Craving en usuarios de whatsapp en teléfonos smartphones: desarrollo de un instrumento para su evaluación en población chilena. Revista Argentina de Clínica Psicológica, 28(4), 399-408. https://doi.org/10.24205/03276716.2019.1116
Lepp, A., Barkley, J. E., & Karpinsky, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students. Computers in Human Behavior, 31, 343-350. https://doi.org/10.1016/j.chb.2013.10.049
Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior research methods, 48(3), 936-949. https://doi.org/10.3758/s1342.
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
Long, J., Liu, T. Q., Liao, Y. H., Qi, C., He, H. Y., Chen, S. B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC psychiatry, 16(1), 408. https://doi.org/10.1186/s12888-016-1083-3
López-Fernandez, O., Honrubia-Serrano, L., Freixa-Banxart, M., & Gibson, W. (2013). Prevalence of Problematic Mobile Phone Use in British Adolescents. Cyberpsychology, Behavior and Social Networking, 17(2), 91-98. https://doi.org/10.1089/cyber.2012.0260
López-Fernández, O., Kuss, D. J., Griffiths, M. D., & Billieux, J. (2015). The conceptualization and assessment of problematic mobile phone use. Encyclopedia of mobile phone behavior. IGI Global.
López-Fernández, O., Kuss, D., Romo, L., Morvan, Y., Kern, L., Graziani, P., Rousseau, A., Rumpf, H. J., Bischof, A., Gässler, A. K., Schimmenti, A., Passanisi, A., Männikkö, N., Kääriänen, M., Demetrovics, Z., Király, O., Chóliz, M., Zacarés, J. J., Serra, E., Griffiths, M. D… et al. (2017). Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey. Journal of Behavioral Addictions, 6(2), 168–177. http://dx.doi.org/10.1556/2006.6.2017.020
Liang, X., & Yang, Y. (2014). An evaluation of WLSMV and Bayesian methods for confirmatory factor analysis with categorical indicators. International Journal of Quantitative Research in Education, 2(1), 17-38.
Matas, A. (2015). Orman’s Internet Addiction Survey: a Preliminary Psychometric Study in an Universitary Andalusian Sample. Universitas Psychologica, 14(3), 1107-1115. https://doi.org/10.11144/Javeriana.upsy14-3.oias
McCoy, B. R. (2016). Digital distractions in the classroom phase II: Student classroom use of digital devices for non-class related purposes. Journal of Media Education, 7(1), 5-32.
McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological methods, 7(1), 64-82.
Merino-Soto, C., & Livia-Segovia, J. (2009). Intervalos de confianza asimétricos para el índice la validez de contenido: Un programa Visual Basic para la V de Aiken. Anales de Psicología, 25(1), 169-171.
Molina, C., & Vallecillo, M. R. (2018). Adicciones conductuales (“sin sustancia”) “en” el trabajo y “al” trabajo. Madrid: Secretaría de Salud Laboral y Medio Ambiente UGT-CEC.
Muthén, L. K., & Muthén, B. O. (1998-2015). Mplus User’s guide (7th ed.). Muthén & Muthén.
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smarpthone use more pervasive. Personal and Ubiquitous Computing, 16, 105–114. https://doi.org/10.1007/s00779-011-0412-2
Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252-259. https://doi.org/10.1556/2006.7.2018.49
Patil, R., Brown, M., Ibrahim, M., Myers, J., Brown, K., Khan, M., & Callaway, R. (2019). Digital Distraction Outside the Classroom: An Empirical Study. Journal of Computing Sciences in Colleges, 34(7), 46-55.
Pavithra, M.B, Suwarna, M; Mahadeva, T.S. (2015). A study on nomophobia – Mobile phone dependence, among students of a medical college in Bangalore. National Journal of Community Medicine 6(2), 340-344
Pedrero, E. J., Rodríguez, M. T., & Ruiz, J. M. (2012). Adicción o abuso del teléfono móvil. Revisión de la literatura. Adicciones, 24(2), 139-152. https://doi.org/10.20882/adicciones.107
Prabu, D., Kim, J. H., Brickman, J. S., Ran, W., & Curtis, C. M. (2015). Mobile phone distraction while studying. New Media & Society, 17(10), 1661-1679. https://doi.org/10.1177/1461444814531692
Puntanunt-Carter, N. M., & Wagner, T. R. (2018). Interpersonal Communication Motives for Flirting Face to Face and Through Texting. Cyberpsychology, Behavior, and Social Networking, 21(4), 229-233. https://doi.org/10.1089/cyber.2017.0608
Qaisar, S., Akhter, N., Masood, A., & Rashid, S. (2017). Problematic Mobile Phone Use, Academic Procrastination and Academic Performance of College Students. Journal of educational research, 20(2), 201-214.
Ramírez, A., Fernández, C. A., Hernández, N. V., & Acevedo, G. O. (2018). Adicción y abuso a dispositivos móviles para estudiantes universitarios, Pereira. Cuaderno de Investigaciones: Semilla Andina, 11, 10-17. https://revia.areandina.edu.co/index.php/vbn/article/view/894
Rozgonjuk, D., Kattago, M., & Täht, K. (2018). Social media use in lectures mediates the relationship between procrastination and problematic smartphone use. Computers in Human Behavior, 89, 191-198. https://doi.org/10.1016/j.chb.2018.08.003
Saris, W. E., Satorra, A., & Van der Veld, W. M. (2009). Testing Structural Equation Models or Detection of Misspecifications? Structural Equation Modeling: A Multidisciplinary Journal, 16(4), 561-582. https://doi.org/10.1080/10705510903203433
Sert, H., Yilmaz, F. T., Kumsar, A. K., & Aygin, D. (2019). Effect of technology addiction on academic success and fatigue among Turkish university students. Fatigue: Biomedicine, Health & Behavior, 7(1), 41-51. https://doi.org/10.1080/21641846.2019.1585598
Smetaniuk, P. (2014). A preliminary investigation into the prevalence and prediction of problematic cell phone use. Journal of Behavioral Addictions, 3(1), 41-53. https://doi.org/10.1556/JBA.3.2014.004
Suárez-Alvarez, J., Pedrosa, I., Lozano Fernández, L. M., García-Cueto, E., Cuesta, M., & Muñiz, J. (2018). Using reversed items in Likert scales: A questionable practice. Psicothema, 30(2), 149-158.
Tateno, M., Kim, D.-J., Teo, A. R., Skokauskas, N., Guerrero, A. P. S., & Kato, T. A. (2019). Smartphone Addiction in Japanese College Students: Usefulness of the Japanese Version of the Smartphone Addiction Scale as a Screening Tool for a New Form of Internet Addiction. Psychiatry Investigation, 16(2), 115–120. https://doi.org/10.30773/pi.2018.12.25.2
Thomée, S., Dellve, L., Harenstam, A., & Hagberg, M. (2010). Perceived connections between information and communication technology use and mental symptoms among young adults – A qualitative study. BMC Public Health, 10(1), 66. https://doi.org/10.1186/1471-2458-10-66
Toda, M., Monden, K., Kubo, K., & Morimoto, K. (2004). Cellular Phone Dependence Tendency of Female University Students. Nippon Eiseigaku Zasshi, 59(4), 383-386.
Valencia-Ortiz, R. & Cabero-Almenara, J. (2019). La adicción a las redes sociales: validación de un instrumento en el contexto mexicano. Salud y Drogas, 19(2), 149 -159. https://doi.org/ 10.21134/haaj.v19i2.460
Vally, Z., & Hichami, F. E. (2019). An examination of problematic mobile phone use in the United Arab Emirates: Prevalence, correlates, and predictors in a college-aged sample of young adults. Addictive Behaviors Reports, 9, 100-185. https://doi.org/10.1016/j.abrep.2019.100185
Wang, D., Xiang, Z., & Fesenmaier, D. R. (2014). Smartphone Use in Everyday Life and Travel. Journal of Travel Research, 55(1), 52-63. https://doi.org/10.1177/0047287514535847
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. En R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling (pp. 209-231). Guilford.
Wilcockson, T. D. W., Osborne, A. M., & Ellis, D. A. (2019). Digital detox: The effect of smartphone withdrawal on mood, anxiety, and craving. Addictive Behaviors. https://doi.org/10.1016/j.addbeh.2019.06.002
Yang, Z., Asbury, K., & Griffiths, M. D. (2019). An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing. International Journal of Mental Health Addiction, 17, 596-614. https://doi.org/10.1007/s11469-018-9961-1
Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction--and a winning strategy for recovery. John Wiley & Sons
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Health and Addictions Journal/Revista Salud y Drogas

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors publishing in this journal agree to the journal's statement of ethical principles and to the following terms:
The rights of the published material shall belong to their respective authors. Articles published in HAAJ may be used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license, and may be read, copied, distributed, printed, searched, or linked to in the full text of this journal without prior permission from the publisher or author, provided that HAAJ and the authors are acknowledged and not used for commercial purposes.
Authors may include the work in institutional repositories or other publications as long as this journal is acknowledged and properly cited.
The HAAJ editorial team encourages authors to disseminate their published work through any means (conferences, classes, lectures, talks, etc.) and/or platforms (social networks, repositories, websites, etc.).
HAAJ follows the Core Practices of COPE (Committee on Publication Ethics).