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

  • Cristina Bernal-Ruiz Universdiad de Murcia
  • Ángel Rosa-Alcázar
  • Víctor González-Calatayud
Keywords: Problematic Internet use, WhatsApp, Problematic use of Whatsapp, Instant messaging, Undergraduate students

Abstract

The use of instant messaging affects different areas of users’ daily lives (personal, social, family, work). The aim of this research was to develop and validate a scale that measures the negative impact of WhatsApp's use in several areas (WANIS). Two studies were conducted. The first one was a pilot study in which the scale was built. The sample consisted of 95 university students aged between 17 and 27. (M = 21.34; SD = 2.11). In the second study, the factor structure was examined and the validity of the scale was analysed from a sample of 630 university students aged between 18 and 62 (M = 21.23; DT = 4.32). The exploratory factor analysis revealed that the three-factor solution was most appropriate for interpreting the scale. The instrument had high reliability and good convergent and discriminant validity. The results indicated that sex, marital status and employment status affected the negative impact experienced by WhatsApp users. This scale has proven to be a valid tool for assessing the impact that this instant messaging application has on controlling intimate relationships, the negative consequences of its use and the problematic use by users.

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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
Published
07-04-2019
How to Cite
Bernal-Ruiz, C., Rosa-Alcázar, Ángel, & González-Calatayud, V. (2019). Development and validation of the WhatsApp Negative Impact scale (WANIS). Anales De Psicología / Annals of Psychology, 35(2), 242-250. https://doi.org/10.6018/analesps.35.2.356791
Section
Clinical and Health Psychology