The study sought to examine the effects of cognitive and behavioural therapies on student’s internet surfing behaviour and text messaging behaviour at the University of Cape Coast. The sample comprised 60 undergraduate regular students from three Colleges in the University of Cape Coast (College of Health and Allied Sciences, College of Humanities and Legal studies, and College of Education studies) in the Central Region of Ghana. The study was conducted using a quasi-experimental pre-test, post-test (non-equivalent) control group design. Three groups made up of two experimental groups and a control group were involved in the study. Using an adapted form of Choliz (2012) Test of Mobile Phone Dependence, the data for the study was gathered. The instrument which was in the form of a structured questionnaire was on a 5-point Likert-type scale, comprising twenty-three items. One-way Analysis of Covariance (ANCOVA) at the alpha level of .05 was used to test the hypotheses. The result was that Cognitive and behavioural therapies had positive effects on Students’ Internet Surfing Behaviour and Students’ Text Messaging Behaviour. Students have the ability and capacity to succeed in readjusting and controlling their mobile phone addictive behaviours using cognitive and behavioural strategies. It was recommended that counsellors should be encouraged to use either of the therapies to reduce mobile phone addictive behaviours of students.
Published in | American Journal of Applied Psychology (Volume 10, Issue 6) |
DOI | 10.11648/j.ajap.20211006.13 |
Page(s) | 146-155 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Internet Surfing Behaviour, Mobile Phone Addictive Behaviour, Text Messaging Behaviour, Cognitive and Behavioural Therapies
[1] | Addis, M. E., & Jacobson, N. S. (2000). A closer look at the treatment rationale and homework compliance in cognitive-behavioural therapy for depression. Cognitive Therapy and Research, 24, 313-326. |
[2] | Ahad, A. D., & Lim, S. M. A. (2014). Convenience or nuisance? The ‘WhatsApp’ dilemma. Procedia-Social and Behavioural Sciences, 155, 189-196. |
[3] | Anaeto, S. G. & Anaeto, M. S. (2010). Development communication: Principles and Practice. Lagos, Nigeria: Stirling-Horden Publishers. |
[4] | Appiah, K. M. (2016). Influence of WhatsApp on study habit of University students in Ghana. International Journal of Research in Economics and Social Sciences, 6 (3), 280-292. |
[5] | Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. American Psychologist, 28 (2), 117-148. |
[6] | Bankole, O. M., & Oludayo, B. S. (2012). Internet use among undergraduate students of Olabisi Onabanjo University Ago-Iwoye, Nigeria. Library Philosophy and Practice. Retrieved from http://digitalcommons.unl.edu/libphilprac/812. |
[7] | Barker, A., Krull, G., & Mallinson, B. (2006). A Proposed theoretical model form-learning adoption in developing countries. Retrieved from http://search.ebscohost.com. |
[8] | Beck, A. T. (1963). Thinking and depression: Idiosyncratic content and cognitive distortions. Archives of General Psychiatry, 9, 324-333. |
[9] | Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International Universities Press. |
[10] | Beck, A. T. (1991). Cognitive therapy. American Psychologist. 46 (4), 368-375. |
[11] | Beck, A. T., & Weishaar, M. E. (2008). Cognitive therapy. In R. J. Corsini & D. Wedding (Eds.), Current psychotherapies (pp. 263-294). Belmont, CA: Brooks/Cole. |
[12] | Brown, K., Campbell, S. W., & Ling, R. (2011). Mobile phones bridging the digital divide for teens in the US? Future Internet, 3 (4), 144-158. |
[13] | Bryant, J., Sanders-Jackson, A., & Smallwood, A. (2006). IMing, text-messaging, and adolescent social networks. Journal of Computer Mediated Communication, 11, 577-592. |
[14] | Bully, E. Q. (2008). Beat crime, antisocial behaviour, bullying, abuse and mobbing with emotional intelligence. Retrieved from http://www.bully.com. |
[15] | Burns, D. D., & Spangler, D. L. (2000). Does psychotherapy homework lead to improvement in depression in cognitive-behavioural therapy or does improvement lead to increased homework compliance? Journal of Consulting and Clinical Psychology, 68 (1), 46-56. |
[16] | Chan, K., & Fang, W. (2007). Use of internet and traditional media among young people. Young Consumers, 8 (4), 244-256. |
[17] | Charlton, T., Panting, C., & Hannan, A. (2002). Mobile telephone ownership and usage among 10- and 11-year-olds. Participation and exclusion. Emotional and Behavioral Difficulties, 7 (3), 152-163. |
[18] | Chen, Y., & Katz, J. E. (2007). Extending family to school life: College students’ use of mobile phone. Paper presented at the annual meeting of the International Communication Association, TBA, San Francisco. Retrieve from http://www from, all academic. com/meta/p171018_index.html. |
[19] | Choliz, M. (2012). Mobile phone addiction in adolescence: The Test of Mobile Phone Dependence (TMD). Progress in Health Science, 2 (1), 33-44. |
[20] | Chung, N. (2011). Korean adolescent girls’ addictive use of mobile phones to maintain interpersonal solidarity. Social Behaviour and Personality: An International Journal, 39 (10), 1349-1358. |
[21] | Current Scenario of WhatsApp. (2015). Retrieved from Sky Topper. |
[22] | Dean, J. (2010). Smartphone user survey: A glimpse into the mobile lives of college students. Test kitchen research reports. Retrieved from http:// testkitchen.colorado.edu/ projects/reports/smartphone/smartphone-survey/. |
[23] | Dobson, K. (2001). Handbook of cognitive behavioural therapies. (2nd ed.). New York: Guilford Press. |
[24] | Dresler-Hawke, E., & Mansvelt, J. (2008). Mobile phones: Enhancing social communication in young adult’s lives? Paper presented at the Australian and New Zealand Marketing Academy Conference, Sydney, Australia. |
[25] | Droin, M., Kaiser, D. H., & Miller, D. A. (2012). Phantom vibrations among undergraduates: Prevalence and associated psychological characteristics. Computers in Human Behaviour, 28, 1490-1496. |
[26] | Edmunds, R., Thorpe, M., & Conole, G. (2010). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British Journal of Educational Technology, 43 (1), 71-84. |
[27] | Eteokleous, N., & Ktoridou, D. (2009). Investigating mobile devices integration in higher education in Cyprus. Faculty Perspective Cuprus, 3 (1), 38-40. |
[28] | Faulkner, X., & Culwin, F. (2005). When fingers do the talking: A study of text messaging. Interacting with Computers, 17 (2), 167-185. |
[29] | Ferry, B. (2009). Using mobile phones to enhance teacher learning in environmental education. In Herrington, J, Herrington, A., Mantei, J. Olney, I., & Ferry, B. (eds), New Technologies, New Pedagogies: Mobile Learning in Higher Education (pp. 45-55). Wollongong: University of Wollongong. |
[30] | Frankel, A., & Wallen, C. K. (1993). Research methodology in education. New York, NY: West Publishing Company. |
[31] | Gasaymeh, A. M. M. (2017). University student’s use of WhatsApp and their perceptions regarding its possible integration into their education. Global Journal of Computer Science and Technology, 17 (1), 1-10. |
[32] | Geser, H. (2006). Are girls (even) more addicted? Some gender patterns of cell phone usage Sociology in Switzerland. Sociology of the mobile phone. Retrieved from http://socio.ch/mobile/t_geser3.pdf. |
[33] | Grinter, R. E., & Palen, L. (2002). Instant messaging in teen life. Proceedings of the 2002 ACM conference on computer supported cooperative work, New York. |
[34] | Golam, R. S. (2015) "Impact of WhatsApp messenger on the university level students: A sociological study", International Journal of Natural and Social Sciences, 2 (4): 118-125. |
[35] | Goldberg, S. (2010). Many teens send 100-plus texts a day, survey says. Retrieved from http://www.cnn.com/2010/TECH/04/20/teens. |
[36] | Greenberger, D., & Padesky, C. A. (1995). Mind over mood: A cognitive therapy treatment manual for clients. New York, NY: Guilford Press. |
[37] | Hashim, N. A., Mat, N., & Abdullah, N. L. (2015). Impact of Whatsapp messenger application among business students in Malaysia. Retrieved from http://library.iated.org/view/HASHIM2015IMP |
[38] | Horstmanshof, L., & Power, M. R. (2005). Mobile phones, SMS, and relationships. Australian Journal of Communication, 32, 33-52. |
[39] | Jacobsen, W. C., & Forste, R. (2011). The wired generation: Academic and social outcomes of electronic media use among university students. Cyber psychology, Behaviour, and Social Networking, 14, 275-280. |
[40] | Kazantis, N., Deane, F. P., Ronan, K. R., & L’Abate, L. (2005). Using homework assignments in cognitive behaviour therapy. New York, NY: Routledge Press. |
[41] | Kibona, L., & Mgaya (2015). Smartphones’ Effects on Academic Performance of Higher Learning Students. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2 (4), 777-784. |
[42] | Lenhart, A., Ling, R., Campbell, S., & Purcell, K. (2010). Teens and mobile phones. Pew internet & American life project. Retrieved from http://www.pewinternet.org/Reports/ 2010/Teens-and Mobile-Phones.aspx. |
[43] | Lin, I., & Peper, E. (2009). Psychophysiological patterns during cell phone text messaging: A preliminary study. Applied Psychophysiology & Biofeedback, 34 (1), 53-57. |
[44] | Ling, R., & Helmersen, P. (2000). It must be necessary, it has to cover a need: The adoption of mobile telephony among pre-adolescents and adolescents. Paper presented at the social consequences of mobile telephony, Oslo, Norway. |
[45] | Ling, R. S. (2008). New tech, new ties: Mobile communication in the global south. New Media & Society, 13 (3), 363-374. |
[46] | Lipsey, M. W., Chapman, G. L. & Landerberger, N. A. (2001). Cognitive-behavioural programmes for juvenile and adult offenders. A meta-analysis of randomized controlled intervention studies. Nashvile T. N.: Vanderbilt University Institution for Public Policy- Studies. |
[47] | Massimini, M., & Peterson, M. (2009). Information and Communication Technology: Affects on U.S. college students. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 3, 1-12. |
[48] | Matar, B. J., & Jaalouk, D. (2017). Depression, anxiety, and smartphone addiction in university students. Retrieved from https:// www.researchgate.net/publication /321165231. |
[49] | Mayer, D. J. & Salovey, P. (1993). The intelligence of emotional intelligence. Imagination, Cognition and Personality. 9 (3), 185- 211. |
[50] | Moeller, S. (2010). A day without media. Retrived from http://withoutmedia.wordpress.com. |
[51] | Nakornthap, A., & Masateianwong, C. (2007). Thai young people in the cyber age. In C. Kanchanachitra, C. Podhisita, U. Archavanitkul, K. Pattaravanich, H. Siriratmongkon, & S. Seangdung (Eds.), Thai Health 2007 (pp. 34-35). Bangkok, Thailand: Health Information System Developement Project of the Thai Health Promotion Foundation. |
[52] | Nielson Online (2009). In US, Smartphones now majority of new cellphone purchases. Retrieved from http://blog.nielsen.com/nielsenwire/online_mobile/in-us-smartphones-now-majority-of-new-cellphone-purchases/. |
[53] | Neilsen, (2011). Social media report. Retrieved from Neilson.com http://blog.neilson.com/neilsenwire/social. |
[54] | Ola, A. O. (2013). Internet access and use among undergraduate students of Bowen University, Iwo Osun State Nigeria. Library Philosophy and Practice. Retrieved from http://digitalcommons.unl.edu/libphilprac/964. |
[55] | Omotayo, B. O. (2006). A survey of internet access and usage among undergraduates in an African university. The International Information & Library Review, 38, 215-224. |
[56] | Patil, S., Deepthi, K., & Tadasad, P. G. (2015). Usage of WhatsApp messenger amongst post-graduate students in a University Environment: A study of Karnataka State Women’s University, Vijayapura. International Journal of Multidisciplinary Research and Development, 2 (11), 591-594. |
[57] | Pavlov, I. P. (1927). Conditional reflexes. London: Oxford University Press. |
[58] | Philomina, A. M., & Abiola, O. O. (2015). Use of mobile phones for academic purposes by Law Students of Igbinedion University, Okada Nigeria. International Journal of Library Science, 4 (4), 65-72. |
[59] | Pierce, T. (2009). Social anxiety and technology: Face-to-face communication versus technological communication among teens. Computers in Human Behavior, 25 (6), 1367-1372. |
[60] | Sanchez-Martinez, M., & Otero, A. (2009). Factors associated with cell phone use in adolescents in the community of Madrid (Spain). Cyber Psychology & Behavior, 12 (2), 131-137. |
[61] | Shaw, S. & Fairhurst, D. (2008). Engaging a new generation of graduates. Education and Training, 50 (5), 366-378. |
[62] | Selfhout, M., Branje, S., Delsing, M., Bogt, T., & Meeus, W. (2009). Different types on internet use, depression, and social anxiety: The role of perceived friendship quality. Journal of Adolescence, 32, 819-833. |
[63] | Seligman, L. (2006). Theories of counselling and psychotherapy: Systems, strategies, and skills. (2nd ed.). Upper Saddle River, New Jersey: Pearson Education, Ltd. |
[64] | Sharma, A. & Shukla, A. K. (2016). Impact of social messengers especially WhatsApp on youth: A sociological study. International Journal of Advance Research and Innovative Ideas in Education, 2 (5), 367-375. |
[65] | Skierkowski, D., & Wood, R. M. (2012). To text or not to text? The importance of text messaging among college-aged youth. Computers in Human Behaviour, 28 (2), 744-756. |
[66] | Skinner, B. F. (1938). The behaviour of organisms: An experimental analysis. New York, NY: Appleton-Century-Crofts. |
[67] | Smith, A. (2011). Americans and text messaging: 31% of text message users prefer texting to voice calls, and young adults stand out in their use of text messaging. Retrieved from http://www. pewinternet.org. |
[68] | Somers, J. (2007). Cognitive behavioural therapy. Core information document. British Columbia Ministry of Health. Retrieve from http://www. health.gov.bc.ca/library /publications/year/2007/2/MHACognitiveBehaviouralTherapy.pdf |
[69] | Soule, L., Shell, W., & Kleen, B. (2003). Exploring internet addiction: Demographic characteristics and stereotypes of heavy internet users. Journal of Computer Information Systems, 44, 64-73. |
[70] | Tawiah, Y. S., Nondzor, E. H., & Alhaji, A. (2014). Usage of WhatsApp and Voice Calls (Phone Call): Preference of Polytechnic Students in Ghana. Science Journal of Business and Management. Vol. 2, No. 4, pp. 103-108. doi: 10.11648/j.sjbm.20140204.11. |
[71] | Tella, A. (2007). University of Botswana undergraduate’s uses of the internet: Implications on academic performance. Journal of Educational Media and Library Sciences, 45 (2), 161-185. |
[72] | Tessa, J. (2014). Students’ Cell phone addiction and their opinions. The Elon Journal of Undergraduate Research in Communications, 5 (1), 74-80. |
[73] | Thomee, S., Harenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances and symptoms of depression among young adults: A prospective cohort study. BMC Public Health, 11 (66), 66-76. |
[74] | Tindell, D. R., Bohlander, R. W. (2010). The use and abuse of cell phones and text messaging in the classroom: A survey of college students. Wilkes University News Archives. Retrieved January 11, 2012, from http://www.wikes.edu/. |
[75] | Tompkins, M. A. (2004). Using homework in psychotherapy: Strategies, guidelines, and forms. New York, NY: Guilford Press. |
[76] | Tompkins, M. A. (2006). Effective homework. In R. L. Leahy (Ed.), Roadblocks in cognitive behavioural therapy (pp 49-66). New York, NY: Guilford Press. |
[77] | Udende, P., & Azeez, A. L. (2010). Internet access and use among students of University of Ilorin, Nigeria. Journal of Communication and Media Research, 2 (1), 33-42. |
[78] | Walsh, S. P., White, K. M., & Ross, M. Y. (2008). Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones. Journal of Adolescence, 31, 77-92. |
[79] | Walsh, S., White, K., & Young, R. (2010). Needing to connect: The effect of self and others on young people’s involvement with their mobile phones. Australian Journal of Psychology, 62 (4), 194-203. |
[80] | Warner, J. (2003). Beyond the net, cell phones shape social behaviour among teens in Japan. Retrieved from http://jcwarner.com/writing/4-07-03-cell-phones.htm. |
[81] | Yeboah, J., & Ewur, G. D. (2014). The impact of WhatsApp messenger usage on student’s performance in Tertiary Institutions in Ghana. Journal of Education and practice, 5 (6), 157-164. |
APA Style
Jane Odurowaa Edjah. (2021). Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students. American Journal of Applied Psychology, 10(6), 146-155. https://doi.org/10.11648/j.ajap.20211006.13
ACS Style
Jane Odurowaa Edjah. Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students. Am. J. Appl. Psychol. 2021, 10(6), 146-155. doi: 10.11648/j.ajap.20211006.13
AMA Style
Jane Odurowaa Edjah. Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students. Am J Appl Psychol. 2021;10(6):146-155. doi: 10.11648/j.ajap.20211006.13
@article{10.11648/j.ajap.20211006.13, author = {Jane Odurowaa Edjah}, title = {Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students}, journal = {American Journal of Applied Psychology}, volume = {10}, number = {6}, pages = {146-155}, doi = {10.11648/j.ajap.20211006.13}, url = {https://doi.org/10.11648/j.ajap.20211006.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20211006.13}, abstract = {The study sought to examine the effects of cognitive and behavioural therapies on student’s internet surfing behaviour and text messaging behaviour at the University of Cape Coast. The sample comprised 60 undergraduate regular students from three Colleges in the University of Cape Coast (College of Health and Allied Sciences, College of Humanities and Legal studies, and College of Education studies) in the Central Region of Ghana. The study was conducted using a quasi-experimental pre-test, post-test (non-equivalent) control group design. Three groups made up of two experimental groups and a control group were involved in the study. Using an adapted form of Choliz (2012) Test of Mobile Phone Dependence, the data for the study was gathered. The instrument which was in the form of a structured questionnaire was on a 5-point Likert-type scale, comprising twenty-three items. One-way Analysis of Covariance (ANCOVA) at the alpha level of .05 was used to test the hypotheses. The result was that Cognitive and behavioural therapies had positive effects on Students’ Internet Surfing Behaviour and Students’ Text Messaging Behaviour. Students have the ability and capacity to succeed in readjusting and controlling their mobile phone addictive behaviours using cognitive and behavioural strategies. It was recommended that counsellors should be encouraged to use either of the therapies to reduce mobile phone addictive behaviours of students.}, year = {2021} }
TY - JOUR T1 - Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students AU - Jane Odurowaa Edjah Y1 - 2021/12/02 PY - 2021 N1 - https://doi.org/10.11648/j.ajap.20211006.13 DO - 10.11648/j.ajap.20211006.13 T2 - American Journal of Applied Psychology JF - American Journal of Applied Psychology JO - American Journal of Applied Psychology SP - 146 EP - 155 PB - Science Publishing Group SN - 2328-5672 UR - https://doi.org/10.11648/j.ajap.20211006.13 AB - The study sought to examine the effects of cognitive and behavioural therapies on student’s internet surfing behaviour and text messaging behaviour at the University of Cape Coast. The sample comprised 60 undergraduate regular students from three Colleges in the University of Cape Coast (College of Health and Allied Sciences, College of Humanities and Legal studies, and College of Education studies) in the Central Region of Ghana. The study was conducted using a quasi-experimental pre-test, post-test (non-equivalent) control group design. Three groups made up of two experimental groups and a control group were involved in the study. Using an adapted form of Choliz (2012) Test of Mobile Phone Dependence, the data for the study was gathered. The instrument which was in the form of a structured questionnaire was on a 5-point Likert-type scale, comprising twenty-three items. One-way Analysis of Covariance (ANCOVA) at the alpha level of .05 was used to test the hypotheses. The result was that Cognitive and behavioural therapies had positive effects on Students’ Internet Surfing Behaviour and Students’ Text Messaging Behaviour. Students have the ability and capacity to succeed in readjusting and controlling their mobile phone addictive behaviours using cognitive and behavioural strategies. It was recommended that counsellors should be encouraged to use either of the therapies to reduce mobile phone addictive behaviours of students. VL - 10 IS - 6 ER -