Employing the Theory of Planned Behavior to Predict Social Media Use Behavior

M Nur Ghufron, Amin Nasir

Abstract


This study aims to determine whether the designed model fits the empirical model and whether attitudes toward social media use, subjective norms, self-efficacy, and intentions to use social media are factors in the social media use behavior in Madrasah Tsanawiyah students. The population in this study was all Madrasah Tsanawiyah students in Central Java. The sampling technique in this study was systematic sampling. It was conducted by taking each subject in the population until the number of the desired sample was met. The technique of analysis employed the structural equation model. Based on the analysis results, the requirements criteria were Chi-Square 165.472 (DF= 81, p=0.000), CMIN/DF=2.043, GFI= 0.947, AGFI= 0.922, TLI= 0.940, and RMSEA= 0.051. Then, the proposed model could be said to be fit or fulfilled. Thus, it can be stated that the proposed model design was not significantly different from the empirical data. Under the study results, the determination coefficient (R²) of the social media use intention (R²) was 0.03, meaning that only 3% could be explained or predicted through the variables of attitude toward using social media, subjective norms, and self-efficacy. In addition, the coefficient of determination (R²) of social media use behavior was 0.29, indicating that 29% could be explained or predicted through the variables of social media use attitudes, subjective norms, self-efficacy, and intentions.


Keywords


Attitudes toward using social media, subjective norms, self-efficacy, intentions to use social media, and behavior of using social media

Full Text:

PDF

References


Ajzen, I. (1991). The theory of planned behavior. Journal of Organizational Behavior and Human Decision Processes, 50, 179-211.

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behaviour: Attitudes, intentions and perceived behavioural control. Journal of Experimental Psychology, 29, 71-90.

Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A metaanalytic review. British Journal of Social Psychology, 40, 471-499.

Baker, R. K., & White, K. M. (2010). Predicting adolescents’ use of social networking sites from an extended theory of planned behaviour perspective. Computers in Human Behavior, 26, 1591-1597. http://doi:10.1016/j.chb.2010.06.006

Bandura, A.,(1986). Social Foundation of Thought and Action: a. Social Theory. Englewood Cliffs, NJ: Prentice Hall.

Bassell, K. (2010), Social media and the implications for nursing faculty mentoring: A review of the literature. Teaching and Learning in Nursing Volume 5, Issue 4, 143-148. https://doi.org/10.1016/j.teln.2010.07.007

Beyens, I., Frison, E. & Eggermont, S. (2016, November). “I don’t wanna miss a thing:” Adolescents fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1-8. http://doi:10.1016/j.chb.2016.05.083

Boyd, D. (2007). Why youth (heart) social networking sites: The role of networked publics in teenage social life. Dalam D. Buckingham, Ed., MacArthur Foundation Series on Digital Learning: Youth, Identity and Media Volume (pp. 119-142). Cambridge, MA: MIT Press.

Boyd, D., & Ellison, N. (2008). Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13, 210-230. http://dx.doi.org/10.1111/j.1083-6101.2007.00393.x

Chen, G. M. (2012). The Impact of New Media on Intercultural Communication in Global Context. China Media Research, 8(2), 1-10.

Davis, L. E., Ajzen, I., Saunders, J., & Williams, T. (2002). The decision of African American students to complete high school: An application of the theory of planned behavior. Journal of Educational Psychology, 94, 810-819.

Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016). Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Computers in Human Behavior, 63, 509–516. https://doi.org/10.1016/j.chb.2016.05.079

Fishbein, M, & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.

Gatra; Majalah Berita Mingguan (27 July 2022). Hasil Survei Mengungkapkan Media Sosial Paling Digemari di Indonesia. Retrieved From: https://www.gatra.com/news-548811-nasional-hasil-survei-mengungkapkan-media-sosial-paling-digemari-di-indonesia-.html

Hamilton, K., & White, K. M. (2008). Extending the theory of planned behavior: The role of self and social influences in predicting adolescent frequent moderate-to-vigorous physical activity. Journal of Sport and Exercise Psychology, 30, 56-74.

Kementerian Komunikasi dan Informatika Republik Indonesia (2022). 98 Persen Anak dan Remaja Tahu Internet. Retrieved From: https://www.kominfo.go.id/index.php/content/detail/3836/98+Persen+Anak+dan+Remaja+Tahu+Internet/0/berita_satker

Ku, Y., Chen, R., & Zhang, H., (2013). Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan. Information & Management Journal, 50(7), 571-581.

Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Journal of Computers in Human Behavior, 26(2), 254-263.

Lenhart, A., Purcell, K., Smith, A., & Zickuhr, K. (2010). Pew internet: Social media in young adults. Diunduh dari: http://www.pewinternet.org/2010/02/03/social-media-and-young-adults.

Livingstone, S. (2008). Taking risky opportunities in youthful content creation: Teenagers' use of social networking sites for intimacy, privacy and self-expression. New Media and Society, 10, 393-411.

Loader, B. D. & Dutton, W.H. (2012) A Decade In Internet Time, Information. Communication & Society, 15:5, 609-615, http://DOI:10.1080/1369118X.2012.677053

Martin RJ, Usdan S, Nelson S, Umstattd MR, LaPlante D, Perko M, Shaffer H. (2010). Using the Theory of Planned Behavior to predict gambling behavior. Psychology of Addictive Behaviors. 24:89–97.

Martínez Alemán, A. M., & Wartman, K. L. (2009). Online social networking on campus: Understanding what matters in student culture. Routledge: New York.

Pittman, M., & Reich, B. (2016). Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words. Computers in Human Behavior, 62, 155–167. https://doi.org/10.1016/j.chb.2016.03.084

Rowlands, I., Nicholas, D., Williams, P., Huntington, P., and Fieldhouse, M. (2008), The Google generation: the information behaviour of the researcher of the future. Aslib Proceedings: New Information Perspectives Vol. 60 No. 4, 290-310

Ryan, T., Reece, J., Chester, A., & Xenos, S. (2016). Who gets hooked on Facebook? An exploratory typology of problematic Facebook users. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 10(3), Article 4. https://doi.org/10.5817/CP2016-3-4

Sharif, I., & Sargent, J. D. (2006). Association between television, movie, and video game exposure and school performance. Pediatrics, 118, 1061-1070.

Stone, T. H., Jawahar, I. M., & Kisamore, J. L. (2010). Predicting academic misconduct intentions and behavior using the theory of planned behavior and personality. Basic and Applied Social Psychology, 32, 35-45.

Terry, D. J., Hogg, M. A., & White, K. M. (1999). The theory of planned behaviour: Selfidentity, social identity and group norms. British Journal of Social Psychology, 38, 225-244.

Vandewater, E. A., Shim, M., & Caplovitz, A. G. (2004). Linking obesity and activity level with children’s television and video game use. Journal of Adolescence, 27, 71-85.

Wang, J., Jackson, L., Gaskin, J., & Wang, H. (2014). The effects of social network site (SNS) use on college students’ friendship and well-being. Journal of Computers in Human Behavior, 37, 229-236.

White, K. M., Terry, D. J., & Hogg, D. J. (1994). Safer sex behavior: The role of attitudes, norms, and control factors. Journal of Applied Social Psychology, 24, 2164-2192.

Yaobin, L., Zhou, T., & Wang. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25, 29-39.




DOI: http://dx.doi.org/10.21043/edukasia.v17i2.16458

Refbacks

  • There are currently no refbacks.


Indexed By:

http://journal.stainkudus.ac.id/indexing/19.jpg http://journal.stainkudus.ac.id/indexing/4.jpg http://journal.stainkudus.ac.id/indexing/17.jpg http://journal.stainkudus.ac.id/indexing/5.jpghttp://journal.stainkudus.ac.id/indexing/21.jpg   

 

Edukasia: Jurnal Penelitian Pendidikan Islam published by Islamic Religious Education Study Program, Tarbiyah Faculty of IAIN Kudus is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.