Development and validation of the WhatsApp Negative Impact scale (WANIS)

  1. Bernal-Ruiz, Cristina
  2. Rosa-Alcázar, Ángel
  3. González-Calatayud, Víctor
Zeitschrift:
Anales de psicología

ISSN: 0212-9728,  1695-2294

Datum der Publikation: 2019

Ausgabe: 35

Nummer: 2

Seiten: 242-250

Art: Artikel

DOI: 10.6018/ANALESPS.35.2.356791 DIALNET GOOGLE SCHOLAR lock_openDIGITUM editor

Andere Publikationen in: Anales de psicología

Ziele für nachhaltige Entwicklung

Zusammenfassung

El uso de mensajería instantánea está influyendo en nuestra vida cotidiana en diferentes ámbitos (personal, social, familiar, laboral). El objetivo de esta investigación fue elaborar y validar una escala que midiera el impacto negativo del WhatsApp en diversas áreas (EINEW). Se llevaron a cabo dos estudios. El primero fue un estudio piloto en el que se construyó la escala. La muestra estuvo formada por 95 estudiantes universitarios con edades comprendidas entre 17 y 27 años (M = 21.34; DT = 2.11). En el segundo estudio se examinó la estructura factorial y se analizó la validez de la escala a partir de una muestra de 630 universitarios con edades de entre 18 y 62 años (M = 21.23; DT = 4.32). El análisis factorial exploratorio reveló que la solución de tres factores era la más apropiada. El instrumento presentó alta fiabilidad y buena validez convergente y discriminante. Los resultados indicaron que el sexo, el estado civil y la situación laboral afectaron al impacto negativo experimentado por los usuarios de WhatsApp. Esta escala ha resultado ser una herramienta válida para evaluar la repercusión de WhatsApp en el control de las relaciones íntimas, las consecuencias negativas de su uso y el uso problemático por parte de los usuarios.

Bibliographische Referenzen

  • References Aharony, N., & Gazit, T. (2016). The importance of the Whatsapp family group: An exploratory analysis. Aslib Journal of Information Management, 68(2), 174-192. doi: 10.1108/AJIM-09-2015-0142
  • Areepattamannil, S., & Khine, M. S. (2017). Early adolescents’ use of information and communication technologies (ICTs) for social communication in 20 countries: Examining the roles of ICT-related behavioral and motivational characteristics. Computers in Human Behavior, 73, 263-272. doi:10.1016/j.chb.2017.03.058
  • Baker, C. K., & Carreño, P. K. (2016). Understanding the role of technology in adolescent dating and dating violence. Journal of Child and Family Studies, 25(1), 308-320. doi: 10.1007/s10826-015-0196-5
  • Bhatt, A., & Arshad, M. (2016). Impact of WhatsApp on youth: A sociological study. International Journal of Management & Social Sciences, 4(2), 376-386. doi: 10.21013/jmss.v4.n2.p7
  • Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089-1097. doi: 10.1016/j.chb.2010.03.012
  • Caro, L. (2015). WhatsApp y la búsqueda de control de la situación informacional por parte de los jóvenes [WhatsApp and the search for control in the informational situation by young people]. SpheraPublica, 15, 76-96.
  • Crocker, L., & Algina, J. (1986). An introduction to classical and modern test theory. New York: Holt, Rinehart & Winston.
  • Crosswhite, J. M., Rice, D., & Asay, S. M. (2014). Texting among United States young adults: An exploratory study on texting and its use within families. The Social Science Journal, 51(1), 70-78. doi: 10.1016/j.soscij.2013.10.002
  • David-Ferdon, C., & Hertz, M. F. (2007). Electronic media, violence, and adolescents: An emerging public health problem. Journal of Adolescent Health, 41(6), 1-5. Doi: 10.1016/j.jadohealth.2007.08.020
  • Faye, A., Gawande, S., Tadke, R., Kirpekar, V., & Bhave, S. (2016). WhatsApp addiction and borderline personality disorder: A new therapeutic challenge. Indian Journal of Psychiatry, 58(2), 235. doi:10.4103/0019-5545.183790
  • Galluch, P. S., Grover, V., & Thatcher, J. B. (2015). Interrupting the workplace: Examining stressors in an information technology context. Journal of the Association for Information Systems, 16(1), 1-47.
  • Gámez-Guadix, M., Orue, I., & Calvete, E. (2013). Evaluation of the cognitive-behavioral model of generalized and problematic Internet use in Spanish adolescents. Psicothema, 25(3), 299-306. doi: 10.7334/psicothema2012.274
  • Goodman-Deane, J., Mieczakowski, A., Johnson, D., Goldhaber, T., & Clarkson, P. J. (2016). The impact of communication technologies on life and relationship satisfaction. Computers in Human Behavior, 57, 219-229. doi: 10.1016/j.chb.2015.11.053
  • Grover, K., Pecor, K., Malkowski, M., Kang, L., Machado, S., Lulla, R., … Ming, X. (2016). Effects of instant messaging on school performance in adolescents. Journal of Child Neurology, 31(7), 850-857. doi: 10.1177/0883073815624758
  • Jacobson, C., Bailin, A., Milanaik, R., Adesman, A. (2016). Adolescent Health Implications of New Age Technology. Pediatric Clinics of North America, 63(1), 183-194. doi: 10.1016/j.pcl.2015.09.001
  • Kim, H., Lee, M., & Kim, M. (2014). Effects of mobile instant messaging on collaborative learning processes and outcomes: The case of South Korea. Educational Technology & Society, 17(2), 31-42.
  • Lasén, A. (2014). Mobile sentimental education: Attachment, recognition and modulations of intimacy. In G. Goggin & L. Hjorth (Eds.), The Routledge Companion to Mobile Media (pp. 396-406). New York: Routledge.
  • Lin, S. (2012). Instant Messaging on Interpersonal Relationship: How It Brings Intimacy and Negative Feelings? (Unpublished master's thesis). The Chinese University of Hong Kong, Hong Kong, China.
  • López-Fernández, O. (2015). Short version of the smartphone addiction scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 6-11. doi: 10.1016/j.addbeh.2015.11.013
  • Lorenzo-Seva, U., & Ferrando, P. J. (2013). FACTOR 9.2: A comprehensive program for fitting exploratory and semiconfirmatory factor analysis and IRT models. Applied Psychological Measurement, 37(6), 497-498. doi: 10.1177/0146621613487794
  • McDaniel, B. T., & Coyne, S. M. (2016). “Technoference”: The interference of technology in couple relationships and implications for women’s personal and relational well-being. Psychology of Popular Media Culture, 5(1), 85-98. doi: 10.1037/ppm0000065
  • Melchers, M., Li, M., Chen, Y. F., Zhang, W., & Montag, C. (2015). Low empathy is associated with problematic use of the Internet: Empirical evidence from China and Germany. Asian Journal of Psychiatry, 17, 56-60. doi: 10.1016/j.ajp.2015.06.019
  • Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., … Markowetz, A. (2015). Smartphone usage in the 21st century: Who is active on WhatsApp? BMC Research Notes, 8(331), 2-6. doi: 10.1186/s13104-015-1280-z
  • Odaci, H., & Çikrikçi, Ö. (2014). Problematic Internet use in terms of gender, attachment styles and subjective well-being in university students. Computers in Human Behavior, 32, 61-66. doi: 10.1016/j.chb.2013.11.019
  • Sánchez-Cánovas, J. (1998). Manual Escala de Bienestar Psicológico [Manual of Psychological Well-being scale]. Madrid: TEA Ediciones.
  • Schwartz, J. (2016). The most popular messaging app in every country. Retrieved from https://www.similarweb.com/blog/worldwide-messaging-apps
  • Spada, M. M. (2014). An overview of problematic Internet use. Addictive Behaviors, 39(1), 3-6. doi: 10.1016/j.addbeh.2013.09.007 Statista. (2017). Number of monthly active WhatsApp users as of 2013-2017. Retrieved from https://www.statista.com/statistics/260819/number-of-monthly-active-whatsapp-users/
  • Takao, M. (2014). Problematic mobile phone use and big-five personality domains. Indian Journal of Community Medicine, 39(2), 111-113. doi: 10.4103/0970-0218.132736
  • Wang, L., Fan, C., Tao, T., & Gao, W. (2017). Age and gender differences in self-control and its intergenerational transmission. Child: Care, Health and Development, 43(2), 274-280. doi: 10.1111/cch.12411.
  • Wang, W., Ngai, E. W. T., & Wei, H. (2012). Explaining instant messaging continuance intention: The role of personality. International Journal of Human-Computer Interaction, 28(8), 500-510. doi:10.1080/10447318.2011.622971
Fuente de los datos: Dialnet