Adaptation and validation of the Indonesia version social media engagement scale for adolescent
DOI:
https://doi.org/10.26555/humanitas.v22i1.1031Keywords:
Adaptation, Indonesian version, Measurement, Scale , Social media, Social media engagementAbstract
The rise of social media has reshaped how people, especially adolescents, communicate and express themselves. Accurate assessment of social media engagement quality is critical for understanding its psychological, social, and behavioral effects, highlighting the need for psychometrically sound measurement tools. This study aims to adapt and test the psychometric properties of the Indonesian version of the SMEA scale. The study involved 851 participants aged 12–21 years. Content validity was assessed using Aiken’s V index based on ratings from 25 expert judges. Construct validity was evaluated through Confirmatory Factor Analysis (CFA), and reliability was tested using Cronbach’s alpha. Results showed Aiken’s V values ranged from 0.67 to 0.91, indicating good content validity. CFA supported the model’s goodness of fit, confirming construct validity. The instrument demonstrated high internal consistency, with a Cronbach’s alpha of 0.83. These findings indicate that the Indonesian version of the SMEA is a valid and reliable tool for assessing adolescents' social media engagement. Its application can support evidence-based interventions to foster healthy social media use and digital literacy.
References
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012
Alhabash, S., Park, S., Smith, S., Hendriks, H., & Dong, Y. (2022). Social media use and alcohol consumption: A 10-year systematic review. International Journal of Environmental Research and Public Health, 19(18), 11796. https://doi.org/10.3390/ijerph191811796
Ambuehl, B., & Inauen, J. (2022). Contextualized measurement scale adaptation: A 4-step tutorial for health psychology research. International Journal of Environmental Research and Public Health, 19(19), 12775. https://doi.org/10.3390/ijerph191912775
Asosiasi Penyelenggara Jasa Internet Indonesia. (2022). Data on Indonesian internet service users. Indonesian Internet Service Providers Association. https://apjii.or.id/content/read/104/503/BULETIN-APJII-EDISI-74-November-2020
Azwar, S. (2021). Reliability and validity (4th ed.). Pustaka Pelajar.
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
Brown, T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Cortez, D., & Nussbeck, F. W. (2021). Combining reliability coefficients: A comparison of Cronbach’s alpha and McDonald’s omega. Psychological Reports, 124(3), 1124–1144. https://doi.org/10.1177/0033294120936186
Dessart, L. (2017). Social media engagement: A model of antecedents and relational outcomes. Journal of Marketing Management, 33(5–6), 375–399. https://doi.org/10.1080/0267257X.2017.1302975
Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2015). Consumer engagement in online brand communities: A social media perspective. Journal of Product & Brand Management, 24(1), 28–42. https://doi.org/10.1108/JPBM-06-2014-0635
Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. https://doi.org/10.1111/bjop.12046
Garett, R., Lord, L. R., & Young, S. D. (2016). Associations between social media and cyberbullying: A review of the literature. MHealth, 2(46), 1-7. https://doi.org/10.21037/mhealth.2016.12.01
Hair, J. F., Black, W. C., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education Limited.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Pearson Prentice Hall.
Himawan, K. K. (2024). Exploring collective wisdom: Relationship-based approach in Indonesian psychological research and practice. Jurnal Psikologi Ulayat, 11(1), 1–5. https://doi.org/10.24854/jpu1016
Hollebeek, L. (2011). Exploring customer brand engagement: Definition and themes. Journal of Strategic Marketing, 19(7), 555–573. https://doi.org/10.1080/0965254X.2011.599493
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60. https://doi.org/10.21427/D7CF7R
Jiotsa, B., Naccache, B., Duval, M., Rocher, B., & Grall-Bronnec, M. (2021). Social media use and body image disorders: Association between frequency of comparing one’s own physical appearance to that of people being followed on social media and body dissatisfaction and drive for thinness. International Journal of Environmental Research and Public Health, 18(6), 2880. https://doi.org/10.3390/ijerph18062880
Kline, R. B. (2015). Principles and practice of structural equation modeling. The Guilford Press.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
Lestari, Sri., Fatturochman., Adiyanti, Goretti., & Walgito, B. (2013). The concept of harmony in javanese society. ANIMA Indonesian Psychological Journal, 29(1), 24–37. https://journal.ubaya.ac.id/index.php/jpa/article/view/4125
Li, J., Lau, J. T. F., Mo, P. K. H., Su, X., Wu, A. M. S., Tang, J., & Qin, Z. (2016). Validation of the social networking activity intensity scale among junior middle school students in China. PLoS ONE, 11(10), e0165695. https://doi.org/10.1371/journal.pone.0165695
McCay-Peet, L. & Quan-Haase, A. (2016). A model of social media engagement: User profiles, gratifications, and experiences. In: O'Brien, H., Cairns, P. (eds) Why Engagement Matters. Springer, Cham. https://doi.org/10.1007/978-3-319-27446-1_9
McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological Methods, 23(3), 412–433. https://doi.org/10.1037/met0000144
Ni, X., Shao, X., Geng, Y., Qu, R., Niu, G., & Wang, Y. (2020). Development of the social media engagement scale for adolescents. Frontiers in Psychology, 11, 701. https://doi.org/10.3389/fpsyg.2020.00701
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Nurhayati-Wolff, H. (2025). Influencer marketing in Indonesia. Statista. https://www.statista.com/topics/7090/influencer-marketing-in-indonesia/
O’Brien, H. L., & Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. Journal of the American Society for Information Science and Technology, 59(6), 938–955. https://doi.org/10.1002/asi.20801
Ofcom. (2024). Children and parents: Media use and attitudes report. Ofcom. https://www.ofcom.org.uk/media-use-and-attitudes/media-habits-children/children-and-parents-media-use-and-attitudes-report-2024
Orben, A., & Przybylski, A. K. (2019). Screens, teens, and psychological well-being: Evidence from three time-use-diary studies. Psychological Science, 30(5), 682–696. https://doi.org/10.1177/0956797619830329
Orosz, G., Tóth-Király, I., & Bőthe, B. (2016). Four facets of Facebook intensity - the development of the Multidimensional Facebook Intensity Scale. Personality and Individual Differences, 100, 95–104. https://doi.org/10.1016/j.paid.2015.11.038
Paramita, R. W. D., Rizal, N., & Sulistyan, R. B. (2021). Quantitative research methods (3rd ed.). Widya Gama Press.
Pedruzzi, P. F., Almeida, M. I., Matoz, F. R., & Andrade, A. L. (2021). Social media motivations scale (SMM-S): Measure adaptation and predictors. LIBERABIT. Revista Peruana de Psicología, 27(2), e472. https://doi.org/10.24265/liberabit.2021.v27n2.04
Rahmatulloh, A. R., & Retnowati, S. (2021). Validation of cognitive-based mindfulness program to reduce suicidal ideation in individuals with depression. Gadjah Mada Journal of Professional Psychology (GamaJPP), 7(1), 55–73. https://doi.org/10.22146/gamajpp.62852
Shahnawaz, M. G., & Rehman, U. (2020). Social networking addiction scale. Cogent Psychology, 7(1), 1832032. https://doi.org/10.1080/23311908.2020.1832032
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International journal of medical education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376
Wijanto, S. H. (2006). Structural equation modeling with LISREL 8.8: Concepts and tutorials. Graha Ilmu.
Wisessathorn, M., Pramepluem, N., & Kaewwongsa, S. (2022). Factor structure and interpretation on the Thai-Social Media Engagement Scale (T-SMES). Heliyon, 8(7), e09985. https://doi.org/10.1016/j.heliyon.2022.e09985
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