An Investigation of the Factors That Affect High School Students’ Attitudes Towards Social Media by CHAID Analysis*
Abstract
Purpose: The purpose of this study is to determine the level of attitude of high school students towards social media and the variables that have an effect on these attitudes. Research Methods: In this study, the relational screening model was the descriptive method that was used. The data were collected by the “Social Media Attitude Scale.” In the data analysis, the two-step cluster analysis and CHAID analysis (Chi-square Automatic Interaction Detector) were used. Findings: According to the results of the CHAID analysis, the most effective variable on high school students’ attitudes towards social media was “students’ dream job.” The other variables that affected attitudes towards social media were as follows: student’s grade level, having a computer, the purpose of computer use, the mother’s educational level, the father’s educational level and the father’s job. In addition, it was found that students had a moderate attitude towards social media. The effect size and relational degree for each significant variable was calculated. Implications for Research and Practice: As a result of the analyses, it was found that the level of high school students’ attitudes towards social media was a moderate/threshold level and that their dream jobs had an effect on these attitudes. In order to determine whether these variables had significance in practice, the effect sizes and relational degrees for each significant variable were calculated. According to the calculations, effect sizes were large and medium, and their relational degrees were also high and moderate.
Keywords
References
- Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The internet and higher education, 11(2), 71-80. https://doi.org/10.1016/j.iheduc.2008.05.002
- Albion, P. R. (2008). Web 2.0 in teacher education: Two imperatives for action. Computers in the Schools, 25(3-4), 181-198. https://doi.org/10.1080/07380560802368173
- Altunay, M.C. (2010). Twitter: Gundelik yasamin yeni rutini Pit Pit Net [The Everyday Life And Social Network Sites: Twitter or “Pit Pit Net”]. Galatasaray Universitesi Iletisim Dergisi, 12, 31-56.
- Ari, E., Yilmaz, V., & Bektes, R. (2016). Universite ogrencilerinin sosyal ag kullanimina iliskin davranislarinin teknoloji kabul modeli ile arastirilmasi [Researching the behaviours of the university students regarding social networking by technology acceptance model]. International Journal of Management Economics & Business, 12(27), 67-82.
- Aydin, I. E. (2016). Universite Ogrencilerinin sosyal medya kullanimlari uzerine bir arastirma: Anadolu Universitesi Ornegi [A Study on usage of social media among univerty students: Anadolu University Case]. Selcuk Universitesi Sosyal Bilimler Enstitusu Dergisi, (35), 373-386.
- Balci, A., & Tezel-Sahin, F. (2016). Sosyal medyanin aile katiliminda kullanilabilirligi uzerine bir incelemen[A study on the usability of social media in family participation]. Kastamonu Egitim Dergisi, 24(5), 2309-2322.
- Berson, M. J. (2000). The computer can't see you blush. Kappa Delta Pi Record, 36, 158-162. https://doi.org/10.1080/00228958.2000.10518777
- Brown, T. A. (2015). Confirmatory factor analysis for applied research. New York: Guilford Press.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
İsmail Karakaya
This is me
Mehmet Sata
This is me
Ergun Cihat Corbacı
This is me
Bayram Cetın
This is me
Publication Date
July 31, 2018
Submission Date
July 31, 2018
Acceptance Date
-
Published in Issue
Year 2018 Volume: 18 Number: 76