Cross-Cultural Adaptation and Psychometric Validation of the Indonesian Version of the Online Cognition Scale (OCS)

Authors

  • Imam Nurcahyo Fambudi Universitas Paramadina
  • Muhammad Farhan Dhifa Akbar Universitas Paramadina
  • Nanda Darajulia Universitas Paramadina
  • Resha Mutiaramadhani Universitas Paramadina
  • Tri Yuliyanti Universitas Paramadina
  • Fadillah Suwarno Universitas Paramadina

DOI:

https://doi.org/10.55927/eajmr.v5i2.32

Keywords:

Online Cognition Scale, Problematic Internet Use, Online Cognition, Impulse Control, Digital Psychology.

Abstract

The growing use of the Internet increases the risk of psychological problems, highlighting the need for valid instruments to assess problematic Internet use. However, adapted and psychometrically tested measures in the Indonesian context remain limited. This study adapted and validated the Indonesian version of the Online Cognition Scale (OCS) using data from 317 participants aged 18–40 years. Psychometric analyses included item–total correlations, EFA, CFA, and reliability testing. The scale was restructured from four dimensions into two—Reality Substitution and Preoccupation & Loss of Control—resulting in 23 reliable items (α = 0.902). CFA indicated acceptable model fit. Overall, the Indonesian OCS demonstrates good validity and reliability for assessing online cognition related to problematic Internet use.

References

Al Ghifari, N. T., Surawijaya, A., Arifiansyah, F., Komarudin, A., Nugroho, D. H. T., & Mahayana, D. (2021). Reality of the internet and social media addiction in Indonesia students. Jurnal Informatika, 15(1), 1-16. https://doi.org/10.26555/jifo.v15i1.a18951

Andrade, L. I., & Viñán-Ludeña, M. S. (2025). Mapping research on ICT addiction: A comprehensive review of Internet, smartphone, social media, and gaming addictions. Frontiers in Psychology, 16, Article 1578457. https://doi.org/10.3389/fpsyg.2025.1578457

APJII. (2023). Laporan Survei Internet Indonesia 2023. Asosiasi Penyelenggara Jasa Internet Indonesia.

Augner, C., Vlasak, T., Aichhorn, W., & Barth, A. (2022). Tackling the 'digital pandemic': The effectiveness of psychological intervention strategies in problematic Internet and smartphone use—A meta-analysis. Australian & New Zealand Journal of Psychiatry, 56(11), 1389-1403. https://doi.org/10.1177/00048674211042793

Bojić, L., Matthes, J., Samala, A. D., & Čabarkapa, M. (2025). The dual impact of virtual reality: examining the addictive potential and therapeutic applications of immersive media in the metaverse. Information, Communication & Society. https://doi.org/10.1080/1369118X.2025.2520005

Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252-266. https://doi.org/10.1016/j.neubiorev.2016.08.033

Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1-10. https://doi.org/10.1016/j.neubiorev.2019.06.032

Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187-195. https://doi.org/10.1016/S0747-5632(00)00041-8

Davis, R. A., Flett, G. L., & Besser, A. (2002). Validation of a new scale for measuring problematic internet use: Implications for pre-employment screening. CyberPsychology & Behavior, 5(4), 331-345. https://doi.org/10.1089/109493102760275581

Hidayat, A. (2019). Budaya Malu dan Interaksi Sosial Masyarakat Indonesia. Jurnal Psikologi Sosial, 17(2), 112–124.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

JASP Team. (2023). JASP (Version 0.16.3) [Computer software]. https://jasp-stats.org/

Lu, P., Qiu, J., Huang, S., Wang, X., Han, S., Zhu, S., Ning, Y., Zeng, F. F., & Yuan, Y. (2025). Interventions for digital addiction: Umbrella review of meta-analyses. Journal of Medical Internet Research, 27, Article e59656. https://doi.org/10.2196/59656

Pratama, R., & Firmansyah, D. (2020). Tekanan Akademik dan Penggunaan Internet Berlebihan pada Mahasiswa. Jurnal Psikologi Pendidikan, 9(1), 45–56.

Rahmawati, S. (2021). Hubungan Stres Akademik dan Kecanduan Internet pada Remaja. Jurnal Psikologi Klinis Indonesia, 3(2), 89–98.

Suryanto, P. (2015). Kolektivisme dan Perilaku Sosial Masyarakat Indonesia. Jurnal Ilmu Sosial dan Humaniora, 4(1), 33–42.

Wang, M., & Zhang, H. (2025). School-based intervention for preventing problematic internet use in adolescents: A scoping review. Research on Social Work Practice. Advance online publication. https://doi.org/10.1177/10497315251358468

Wei, Z., Hassan, N. C., Hassan, S. A., Ismail, N., Gu, X., & Dong, J. (2025). Psychometric validation of Young's Internet Addiction Test among Chinese undergraduate students. PLOS ONE, 20(4), Article e0320641. https://doi.org/10.1371/journal.pone.0320641

Wegmann, E., Müller, S. M., Turel, O., & Brand, M. (2022). Interactions of impulsivity, general executive functions, and Internet-use disorder. Addictive Behaviors, 126, 107180. https://doi.org/10.1016/j.addbeh.2021.107180

Wibisono, S., & Sasia, E. (2020). Adaptasi dan validasi Skala Identitas Nasional Indonesia. Jurnal Psikologi Sosial, 18(1), 12-24.

Widyastuti, R. (2018). Penggunaan Media Sosial sebagai Coping Stress pada Mahasiswa. Jurnal Psikologi Nusantara, 1(2), 77–86.

Widyatmoko, C. S., Tan, E. T., Seyle, D. C., Mayawati, E. H., & Silver, R. C. (2019). Contextual and culturally-sensitive assessment: Developing the Trauma Exposure Scale for Indonesia. PLOS ONE, 14(11), Article e0224088. https://doi.org/10.1371/journal.pone.0224088

Siste, K., Hanafi, E., Lee Thung Sen, H. C., Adrian, L. P., Limawan, A. P., Murtani, B. J., & Suwartono, C. (2020). The impact of physical distancing and associated factors towards Internet addiction among adults in Indonesia during COVID-19 pandemic: A nationwide web-based study. Frontiers in Psychiatry, 11, Article 580977. https://doi.org/10.3389/fpsyt.2020.580977

Siste, K., Suwartono, C., Nasrun, M. W., Bardosono, S., Sekartini, R., Pandelaki, J., Sarasvita, R., Murtani, B. J., Damayanti, R., & Wiguna, T. (2021). Validation study of the Indonesian internet addiction test among adolescents. PLOS ONE, 16(2), Article e0245833. https://doi.org/10.1371/journal.pone.0245833

Samuel, D. B. (2017). Exploratory factor analysis. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of personality and individual differences. Springer. https://doi.org/10.1007/978-3-319-28099-8_516-

Zijlmans, E. A. O., Tijmstra, J., van der Ark, L. A., & Sijtsma, K. (2018). Item-score reliability in empirical-data sets and its relationship with other item indices. Educational and Psychological Measurement, 78(6), 998-1020. https://doi.org/10.1177/0013164417728358

Young KS (1998) Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1(3):237–244. https://doi.org/10.1089/cpb.1998.1.237

Zou, D. S., Cowan, H. R., Azis, M., & Mittal, V. A. (2021). Reciprocal social behavior and related social outcomes in individuals at clinical high risk for psychosis. Psychiatry Research, 306, 114224. https://doi.org/10.1016/j.psychres.2021.114224

Published

2026-02-28 — Updated on 2026-03-31

Versions