Analisis Rasch model Indonesia Problematic Internet Use Scale (IPIUS)
Abstract
Abstract
Indonesia Problematic Internet Use Scale (IPIUS) consists of six dimensions, namely a preference for online social interaction, escaping, negative outcomes, compulsive internet use, cognitive preoccupation, and emotional reactivity. University students in the covid-19 pandemic are constantly learning to use the internet that causes compulsive internet use. This study explores IPIUS using analysis technique rating scale model, especially the compulsive internet use dimension which consists of ten items. The quantitative research method is survey research using an online questionnaire. Participants in the research were 395 university students who do lectures online. The sampling technique used to obtain participants was convenience sampling. The results showed nine-item compulsive internet use dimension is good quality, unidimensional, and item reliability was better than previous research using confirmatory factor analysis. IPIUS is a stable instrument to measure problematic internet use for university students in Indonesia.
Keywords: compulsive internet use; covid-19; problematic internet use; rating scale model, university students
Abstrak
Indonesia Problematic Internet Use Scale (IPIUS) terdiri dari enam dimensi, yaitu: preference for online social interaction, escaping, negative outcome, compulsive internet use, cognitive preoccupation, dan emotional reactivity. Mahasiswa di era pandemic covid-19 secara terus-menerus melakukan pembelajaran daring yang mengakibatkan menjadi compulsive internet use. Penelitian ini bertujuan mengekplorasi IPIUS dengan menggunakan teknik analisis rating scale model, khususnya dimensi compulsive internet use yang terdiri dari sepuluh item. Metode penelitian kuantitatif yang digunakan berjenis survey research menggunakan kuesioner online. Partisipan penelitian sebanyak 395 mahasiswa yang melakukan kuliah secara daring. Teknik sampling yang digunakan untuk mendapatkan partisipan adalah teknik convenience sampling. Hasil penelitian menunjukan sembilan item pada dimensi compulsive internet use merupakan item yang berkualitas baik, bersifat unidimensi, dan nilai reliabilitas item yang dihasilkan lebih baik dibandingkan penelitian sebelumnya yang menggunakan confirmatory factor analysis. IPIUS merupakan instrumen yang cocok mengukur problematic internet use pada mahasiswa di Indonesia.
Kata kunci: compulsive internet use; covid-19; problematic internet use; rating scale model mahasiswa
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References
Agusti, R. D. C. W. ., & Leonardi, T. (2015). Hubungan antara kesepian dengan problematic internet use pada mahasiswa. Jurnal Psikologi Klinis Dan Kesehatan Mental, 4(1), 9–13. https://doi.org/10.30872/psikostudia.v8i1.2384
American Educational Research Association, American psychological association, & national council on measurement in education. (2014). Standars for Educational and Psychological Testing. American Education Research Association.
Andangsari, E. W. (2018). Pengaruh strategi regulasi emosi terhadap problematic internet use melalui kesepian sebagai mediator pada mahasiswa di Indonesia [Universitas Padjajaran]. https://lib.unpad.ac.id/index.php?node=Fakultas+Psikologi&p=show_detail&id=13941&keywords=
Andangsari, E. W., Djunaidi, A., Fitriana, E., & Harding, D. (2019). Indonesia problematic internet use scale. Journal of Physics: Conference Series, 1175(1). https://doi.org/10.1088/1742-6596/1175/1/012239
APJII. (2020). Laporan Survei Internet APJII 2019 – 2020. Asosiasi penyelenggara jasa internet Indonesia, 2020, 1–146. https://apjii.or.id/survei
Argaheni, N. B. (2020). Sistematik Review: Dampak perkuliahan daring saat pandemi COVID-19 terhadap mahasiswa Indonesia. PLACENTUM: Jurnal Ilmiah Kesehatan Dan Aplikasinya, 8(2), 99. https://doi.org/10.20961/placentum.v8i2.43008
Ariffudin, I., Mulawarman, & Japar, M. (2018). Problematic internet use , problem solving skills and emotional regulation among Junior High School students. Jurnal Bimbingan Konseling, 7(2), 113–119.
Aziz, R. (2015). Aplikasi model Rasch dalam pengujian alat ukur kesehatan mental di tempat kerja. Jurnal Psikoislamika, 12(2), 29–39. http://ejournal.uin-malang.ac.id/index.php/psiko/article/view/6402/6966
Beck, A., Steer, R., Ball, R., & Ranieri, W. (1996). Comparison of beck depression 1 in psychiatric inventories -1A and - Outpatients. Journal of Personality Assessment, 67(3), 588–597. https://doi.org/10.1207/s15327752jpa6703
Billieux, J., & Linden, M. Van Der. (2012). Problematic use of the internet and self-regulation : A Review of the initial studies. The Open Addiction Journal, 5, 24–29. https://doi.org/10.2174/1874941001205010024
Boroel, B., Aramburo, V., & Gonzalez, M. (2017). Development of a Scale to measure attitudes toward professional values: An Analysis of dimensionality using Rasch measurement. Procedia - Social and Behavioral Sciences, 237, 292–298. https://doi.org/10.1016/j.sbspro.2017.02.079
Caplan, S. E. (2003). Preference for online social interaction: A Theory of problematic internet use and psychosocial well-Being. Communication Research, 30(6), 625–648. https://doi.org/10.1177/0093650203257842
Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089–1097. https://doi.org/10.1016/j.chb.2010.03.012
Christensen, K. B., Makransky, G., & Horton, M. (2017). Critical values for Yen’s Q3: Identification of local dependence in the Rasch Model using residual correlations. Applied Psychological Measurement, 41(3), 178–194. https://doi.org/10.1177/0146621616677520
e Silva, H. R. de S., Areco, K. C. N., Bandiera-Paiva, P., Galvão, P. V. M., Garcia, A. N. de M., & da Silveira, D. X. (2014). Avaliação da equivalência semântica da versão em português (Brasil) da Online Cognition Scale. Cadernos de Saude Publica, 30(6), 1327–1334. https://doi.org/10.1590/0102-311X00153413
Febrayosi, P. (2013). Estimasi true score pada second order unidimensional data: sebuah studi simulasi monte carlo tentang dampak panjang tes, tingkat kesukaran dan daya pembeda item [UIN Syarif Hidayatullah Jakarta]. http://repository.uinjkt.ac.id/dspace/handle/123456789/46293
Feijóo, S., Foody, M., Norman, J. O., Pichel, R., & Rial, A. (2021). Cyberbullies, the cyberbullied, and problematic internet use: Some reasonable similarities. Psicothema, 33(2), 198–205. https://doi.org/10.7334/psicothema2020.209
Fernandes, B., Biswas, U. N., Tan-Mansukhani, R., Vallejo, A., & Essau, C. A. (2020). The impact of COVID-19 lockdown measures on ED visits in Lebanon. Revista de Psicologia Clinica Con Ninos y Adolescentes, 7(3), 59–65. https://doi.org/10.1016/j.ajem.2020.11.067
Gámez-Guadix, M., Orue, I., & Calvete, E. (2013). Evaluación del modelo cognitivo-conductual del uso problemático y generalizado de Internet en adolescentes Españoles. Psicothema, 25(3), 299–306. https://doi.org/10.7334/psicothema2012.274
Ginting, H., Näring, G., Van Der Veld, W. M., Srisayekti, W., & Becker, E. S. (2013). Validating the Beck Depression Inventory-II in Indonesia’s general population and coronary heart disease patients. International Journal of Clinical and Health Psychology, 13(3), 235–242. https://doi.org/10.1016/S1697-2600(13)70028-0
Goodwin, C. J., & Goodwin, K. A. (2013). Research in psychology methods and design (7th Ed). John Wiley & Sons, Inc.
Google Scholar. (2021). Theory and measurement of generalized problematic internet use: A two-step approach. https://scholar.google.com/scholar?hl=id&as_sdt=0%2C5&q=PIU+Caplan&btnG=
Hakam, M. ., Levani, Y., & Utama, M. . (2020). Potensi adiksi penggunaan internet pada remaja Indonesia di Periode awal pandemi Covid 19. Hang Tuah Medical Journal, 18(1), 36–46.
Holster, T. A., & Lake, J. (2016). Guessing and the Rasch model. Language Assessment Quarterly, 13(2), 124–141. https://doi.org/10.1080/15434303.2016.1160096
Ilesanmi, O. S., Afolabi, A. A., & Adebayo, A. M. (2021). Problematic Internet Use ( PIU ) Among adolescents during COVID-19 lockdown : A study of High School students in Ibadan , Nigeria. The African Journal of Information and Communication (AJIC), 27, 1–22. https://doi.org/https://doi.org/10.23962/10539/31373
IOM. (2021). Rating Scale Instrument Quality Criteria. https://www.rasch.org/rmt/rmt211m.htm
Islam, M. S., Sujan, M. S. H., Tasnim, R., Ferdous, M. Z., Masud, J. H. B., Kundu, S., Mosaddek, A. S. M., Choudhuri, M. S. K., Kircaburun, K., & Griffiths, M. D. (2020). Problematic internet use among young and adult population in Bangladesh: Correlates with lifestyle and online activities during the COVID-19 pandemic. Addictive Behaviors Reports, 12(July), 100311. https://doi.org/10.1016/j.abrep.2020.100311
Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., Griffiths, M. D., Gjoneska, B., Billieux, J., Brand, M., Abbott, M. W., Chamberlain, S. R., Corazza, O., Burkauskas, J., Sales, C. M. D., Montag, C., Lochner, C., Grünblatt, E., Wegmann, E., … Demetrovics, Z. (2020). Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Comprehensive Psychiatry, 100, 1–4. https://doi.org/10.1016/j.comppsych.2020.152180
Lopez-Fernandez, O., Freixa-Blanxart, M., & Honrubia-Serrano, M. L. (2013). The problematic internet entertainment use scale for adolescents: Prevalence of problem internet use in Spanish high school students. Cyberpsychology, Behavior, and Social Networking, 16(2), 108–118. https://doi.org/10.1089/cyber.2012.0250
Machimbarrena, J. M., González-Cabrera, J., Ortega-Barón, J., Beranuy-Fargues, M., Álvarez-Bardón, A., & Tejero, B. (2019). Profiles of problematic internet use and its impact on adolescents’ health-related quality of life. International Journal of Environmental Research and Public Health, 16(20). https://doi.org/10.3390/ijerph16203877
McIntyre, E., Wiener, K. K. K., & Saliba, A. J. (2015). Compulsive Internet use and relations between social connectedness, and introversion. Computers in Human Behavior, 48, 569–574. https://doi.org/10.1016/j.chb.2015.02.021
Meerkerk, G.-J. (2007). Pwned by the Internet: Explorative research into the causes and consequences of compulsive internet use. Basement Grafische Producties.
Mohammed Abubakar, A., & Al-zyoud, M. F. (2021). Problematic internet usage and safety behavior: Does time autonomy matter? Telematics and Informatics, 56(August), 101501. https://doi.org/10.1016/j.tele.2020.101501
Muttaqin, D., Yunanto, T. A. R., Fitria, A. Z. N., Ramadhanty, A. M., & Lempang, G. F. (2020). Properti psikometri Self-Compassion Scale versi Indonesia: Struktur faktor, reliabilitas, dan validitas kriteria. Persona:Jurnal Psikologi Indonesia, 9(2), 189–208. https://doi.org/10.30996/persona.v9i2.3944
Odaci, H. (2011). Academic self-efficacy and academic procrastination as predictors of problematic internet use in university students. Computers and Education, 57(1), 1109–1113. https://doi.org/10.1016/j.compedu.2011.01.005
Pontes, H. M., & Griffiths, M. D. (2017). The development and psychometric properties of the Internet Disorder Scale–Short Form (IDS9-SF). Addicta: The Turkish Journal on Addictions, 3(3), 303–318. https://doi.org/10.15805/addicta.2016.3.0102
Prieto, G., Delgado, A. R., Perea, M. V., & Ladera, V. (2010). Scoring neuropsychological tests using the rasch model: An illustrative example with the rey-Osterrieth complex figure. Clinical Neuropsychologist, 24(1), 45–56. https://doi.org/10.1080/13854040903074645
Salsabila, D. F., Rofifah, R., Natanael, Y., & Ramdani, Z. (2019). Uji Validitas konstruk Indonesian-Psychological Measurement of Islamic Religiousness (I-PMIR). Jurnal Psikologi Islam Dan Budaya, 2(2), 1–10. https://doi.org/10.15575/jpib.v2i2.5494
Spritzer, D. T., Machado, W. de L., Yates, M. B., Astolfi, V. R., Laskoski, P., Pessi, C., Laconi, S., Kaliszewska-Czeremska, K., Demetrovics, Z., Király, O., Passos, I. C., & Hauck, S. (2021). Psychometric properties of the nine-item Problematic Internet Use Questionnaire in a Brazilian general population sample. Frontiers in Psychiatry, 12(May), 1–8. https://doi.org/10.3389/fpsyt.2021.660186
van den Eijnden, R. J. J. M., Meerkerk, G. J., Vermulst, A. A., Spijkerman, R., & Engels, R. C. M. E. (2008). Online communication, compulsive internet use, and psychosocial well-being among adolescents: A longitudinal study. Developmental Psychology, 44(3), 655–665. https://doi.org/10.1037/0012-1649.44.3.655
Wang, Y. P., & Gorenstein, C. (2013). Psychometric properties of the Beck Depression Inventory-II: A comprehensive review. Revista Brasileira de Psiquiatria, 35(4), 416–431. https://doi.org/10.1590/1516-4446-2012-1048
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