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Journals / Siirt Eğitim Dergisi / 2026 / Cilt: 3 Sayı: 1

Adaptation of Adaptive Behaviors Scale for Hikikomori Self Report into Turkish

Hikikomori Öz Bildirimi için Uyarlanabilir Davranışlar Ölçeğinin Türkçeye Uyarlanması

Ulaş İlic(PAMUKKALE ÜNİVERSİTESİ)0000-0003-4213-8713
Pages
23–36
Publication Date
2023-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The structure of the HÖBUD scale consisting of four factors and 26 items in the original scale was confirmed (χ2/df= 3.09, p<0.001, RMSEA= 0.086, IFI = 0,93, SRMR= 0.10, NFI= 0.90, NNFI = 0,92, CFI= 0.93, GFI= 0.81).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Digital devices, which help people in many ways in our daily lives, cause several psychological problems in people due to their unlimited use.
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Key Findings & Data:The concept, which is defined as an individual's withdrawal from social life for more than 6 months, is increasing rapidly.
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Conclusion & Impact:The structure of the HÖBUD scale consisting of four factors and 26 items in the original scale was confirmed (χ2/df= 3.09, p<0.001, RMSEA= 0.086, IFI = 0,93, SRMR= 0.10, NFI= 0.90, NNFI = 0,92, CFI= 0.93, GFI= 0.81).
🔬Design:Araştırma Makalesi
📍Scope:2022 Verileri
⚙️Variables:Hikikomori · sosyal geri çekilme · ölçek uyarlama

Abstract

Digital devices, which help people in many ways in our daily lives, cause several psychological problems in people due to their unlimited use. Hikikomori is one of these problems. The concept, which is defined as an individual's withdrawal from social life for more than 6 months, is increasing rapidly. Thus, it is important to determine this concept, which has a great potential to affect every element of social life. There is no tool in Turkish for evaluating the concept. For this reason, it is aimed to adapt the Adaptive Behaviors Scale for Hikikomori Self-Report (HÖBUD) into Turkish. Six experts and eight teacher candidates contributed to the language validity. In the confirmatory factor analysis step, 305 participants took part. The data collection tool is the Turkish version of the scale developed by Nonaka and Sakai (2022). The process was carried out in the spring term of the 2022-2023 academic year. The data obtained were analyzed by confirmatory factor analysis and the adaptation of the scale to Turkish was completed. The structure of the HÖBUD scale consisting of four factors and 26 items in the original scale was confirmed (χ2/df= 3.09, p<0.001, RMSEA= 0.086, IFI = 0,93, SRMR= 0.10, NFI= 0.90, NNFI = 0,92, CFI= 0.93, GFI= 0.81).

Özet

Günlük hayatımızda insanlara birçok açıdan yardımcı olan dijital cihazlar sınırsız kullanımları nedeniyle insanlarda çeşitli psikolojik sorunlara yol açmaktadır. Hikikomori de bu problemlerden biridir. Bireyin sosyal hayatından 6 aydan uzun süre kendini çekmesi olarak tanımlanan kavram hızla çoğalmaktadır. Bunun için de sosyal hayatın her unsurunu etkileme potansiyeli büyük olan bu kavramı belirlemek önemlidir. Kavramı değerlendirmeye yönelik Türkçe dilinde bir araç bulunmamaktadır. Söz konusu nedenle bu çalışmada Hikikomori Öz Bildirimi için Uyarlanabilir Davranışlar (HÖBUD) Ölçeğinin Türkçeleştirilmesi amaçlanmıştır. Ölçek uyarlamanın çeviri sürecinin dil geçerliliği aşamasında altı uzman ile sekiz öğretmen adayı katkı sağlamıştır. Doğrulayıcı faktör analizi adımına ise 305 kişi katılmıştır. Veri toplama aracı Nonaka ve Sakai’nin (2022) geliştirdiği ölçeğin Türkçeleştirilmiş formudur. Süreç 2022-2023 öğretim yılı bahar döneminde yürütülmüştür. Elde edilen veriler analizi için doğrulayıcı faktör analizi kullanılmış ve ölçek Türkçeye uyarlanmıştır. HÖBUD ölçeğinin özgün ölçekteki dört faktör 26 maddelik yapısı doğrulanmıştır (χ2/df= 3,09, p<0,001, RMSEA= 0,086, IFI = 0,93, SRMR= 0,10, NFI= 0,90, NNFI = 0,92, CFI= 0,93, GFI= 0,81).

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Cite This Article

İlic, U. (2023). Adaptation of Adaptive Behaviors Scale for Hikikomori Self Report into Turkish. Siirt Eğitim Dergisi, Cilt: 3 Sayı: 1, 23–36. https://doi.org/10.58667/sedder.1291735

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References (34)

  1. Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815-824. https://doi.org/10.1016/j.paid.2006.09.018
  2. Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2018). Bilimsel Araştırma Yöntemleri, 24. Baskı, Ankara: Pegem Akademi.
  3. Chan, H. Y., & Lo, T. W. (2014). Quality of life of the hidden youth in Hong Kong. Applied Research in Quality of Life, 9(4), 951-969. https://doi.org/10.1007/s11482-013-9279-x
  4. Chauliac, N., Couillet, A., Faivre, S., Brochard, N., & Terra, J. L. (2017). Characteristics of socially withdrawn youth in France: A retrospective study. International Journal of Social Psychiatry, 63(4), 339-344. https://doi.org/10.1177/0020764017704474
  5. Deniz, Z. (2007). Psikolojik ölçme aracı uyarlama. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 40(1), 1-16.
  6. Guedj-Bourdiau, M. J. (2011, December). Claustration à domicile de l’adolescent. Hikikomori. In Annales Médico-psychologiques, revue psychiatrique (Vol. 169, No. 10, pp. 668-673). Elsevier Masson.
  7. Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53-60. http://doi.org/10.21427/D7CF7R
  8. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540118
  9. Hamasaki, Y., Pionnié-Dax, N., Dorard, G., Tajan, N., & Hikida, T. (2021). Identifying social withdrawal (Hikikomori) factors in adolescents: Understanding the Hikikomori spectrum. Child Psychiatry & Human Development, 52(5), 808-817. https://doi.org/10.1007/s10578-020-01064-8
  10. Hamasaki, Y., Pionnié-Dax, N., Dorard, G., Tajan, N., & Hikida, T. (2022). Preliminary study of the social withdrawal (Hikikomori) spectrum in French adolescents: Focusing on the differences in pathology and related factors compared with Japanese adolescents. BMC Psychiatry, 22(1), 1-10. https://doi.org/10.1186/s12888-022-04116-6
  11. Hambleton, R. K. & Patsula, L. (1999). Increasing the validity of adapted tests: Myths to be avoided and guidelines for improving test adaptation practices. Journal of Applied Testing Technology, 1(1), 1-30.
  12. Heinze, U., & Thomas, P. (2014). Self and salvation: visions of Hikikomori in Japanese manga. Contemporary Japan, 26(1), 151-169. https://doi.org/10.1515/cj-2014-0007
  13. Kaneko, S. (2006). Japan's ‘Socially Withdrawn Youths’ and time constraints in Japanese society: Management and conceptualization of time in a support group for ‘Hikikomori’. Time & Society, 15(2-3), 233-249. https://doi.org/10.1177/0961463X06067034
  14. Kato, T. A., Kanba, S., & Teo, A. R. (2016). A 39-year-old “adultolescent”: Understanding social withdrawal in Japan. American Journal of Psychiatry, 173(2), 112-114. https://doi.org/10.1176/appi.ajp.2015.15081034
  15. Kato, T. A., Kanba, S., & Teo, A. R. (2018). Hikikomori: Experience in Japan and international relevance. World Psychiatry, 17(1), 105-106. https://doi.org/105. 10.1002/wps.20497
  16. Kato, T. A., Tateno, M., Shinfuku, N., Fujisawa, D., Teo, A. R., Sartorius, N.,. & Kanba, S. (2012). Does the ‘Hikikomori’syndrome of social withdrawal exist outside Japan? A preliminary international investigation. Social Psychiatry and Psychiatric Epidemiology, 47(7), 1061-1075. https://doi.org/10.1007/s00127-011-0411-7 Kondo, N., Sakai, M., Kuroda, Y., Kiyota, Y., Kitabata, Y., & Kurosawa, M. (2013). General condition of Hikikomori (prolonged social withdrawal) in Japan: Psychiatric diagnosis and outcome in mental health welfare centres. International Journal of Social Psychiatry, 59(1), 79-86. https://doi.org/10.1177/0020764011423611
  17. Koyama, A., Miyake, Y., Kawakami, N., Tsuchiya, M., Tachimori, H., Takeshima, T., & World Mental Health Japan Survey Group. (2010). Lifetime prevalence, psychiatric comorbidity and demographic correlates of “Hikikomori” in a community population in Japan. Psychiatry Research, 176(1), 69-74. https://doi.org/10.1016/j.psychres.2008.10.019
  18. Kuss, D. J., Louws, J., & Wiers, R. W. (2012). Online gaming addiction? Motives predict addictive play behavior in massively multiplayer online role-playing games. Cyberpsychology, Behavior, and Social Networking, 15(9), 480-485.
  19. Masataka, N. (2002). Low anger-aggression and anxiety-withdrawal characteristic to preschoolers in Japanese society where ‘Hikikomori'is becoming a major social problem. Early Education and Development, 13(2), 187-200. https://doi.org/10.1207/s15566935eed1302_5
  20. Nagata, T., Yamada, H., Teo, A. R., Yoshimura, C., Nakajima, T., & Van Vliet, I. (2013). Comorbid social withdrawal (Hikikomori) in outpatients with social anxiety disorder: Clinical characteristics and treatment response in a case series. International Journal of Social Psychiatry, 59(1), 73-78. https://doi.org/10.1177/0020764011423184
  21. Nonaka, S., & Sakai, M. (2020). The psychometric properties of a self-report scale on assessing social interaction of people with prolonged social withdrawal (Hikikomori). Current Psychology,41, 6584-6596. https://doi.org/10.1007/s12144-020-01151-y
  22. Nonaka, S., Shimada, H., & Sakai,M. (2018). Assessing adaptive behaviors of individuals with Hikikomori (prolonged social withdrawal): development and psychometric evaluation of the parent-report scale. International Journal of Culture and Mental Health, 11, 280–294. https://doi.org/10.1080/17542863.2017.1367411
  23. Özdamar, K. (2004). Paket programlar ile istatiksel veri analizi. Kaan Kitabevi Eskişehir. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness of fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  24. Schumacker, R. E., & Lomax, R. G. (1996). A beginner’s guide to structural equation modeling. LEA. Stip, E., Thibault, A., Beauchamp-Chatel, A., & Kisely, S. (2016). Internet addiction, Hikikomori syndrome, and the prodromal phase of psychosis. Frontiers in Psychiatry, 7, 1-8. https://doi.org/10.3389/fpsyt.2016.00006
  25. Teo, A. R. (2010). A new form of social withdrawal in Japan: a review of Hikikomori. International Journal of Social Psychiatry, 56(2), 178-185. https://doi.org/10.1177/0020764008100629
  26. Teo, A. R., Chen, J. I., Kubo, H., Katsuki, R., Sato-Kasai, M., Shimokawa, N., Hayakawa, K., Umene-Nakano, W., Aikens, J. E., Kanba, S., & Kato, T. A. (2018). Development and validation of the 25-item Hikikomori questionnaire (HQ-25). Psychiatry and Clinical Neurosciences, 72, 780–788. https://doi.org/10.1111/pcn.12691.
  27. Teo, A. R., Fetters, M. D., Stufflebam, K., Tateno, M., Balhara, Y., Choi, T. Y.,. & Kato, T. A. (2015). Identification of the Hikikomori syndrome of social withdrawal: psychosocial features and treatment preferences in four countries. International Journal of Social Psychiatry, 61(1), 64-72. https://doi.org/10.1177/0020764014535758
  28. Thompson, B. (2004). Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. Washington DC: American Psychological Association.
  29. Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806-838. https://doi.org/10.1177/0011000006288127
  30. Yong, R. (2010). Exploring Hikikomori – A mixed methods qualitative approach. International Journal of Behavioral Medicine, 17, 81–82. https://doi.org/10.5353/th_b4171214
  31. Yong, R. K. F., & Kaneko, Y. (2016). Hikikomori, a phenomenon of social withdrawal and isolation in young adults marked by an anomic response to coping difficulties: A qualitative study exploring individual experiences from first-and second-person perspectives. Open Journal of Preventive Medicine, 6(1), 1-20. https://doi.org/10.4236/ojpm.2016.61001
  32. Yong, R., & Nomura, K. (2019). Hikikomori is most associated with interpersonal relationships, followed by suicide risks: a secondary analysis of a national cross-sectional study. Frontiers in Psychiatry, 10, 247. https://doi.org/10.3389/fpsyt.2019.00247
  33. Kato, T. A., Tateno, M., Shinfuku, N., Fujisawa, D., Teo, A. R., Sartorius, N.,. & Kanba, S. (2012). Does the ‘Hikikomori’syndrome of social withdrawal exist outside Japan? A preliminary international investigation. Social Psychiatry and Psychiatric Epidemiology, 47(7), 1061-1075. https://doi.org/10.1007/s00127-011-0411-7 Kondo, N., Sakai, M., Kuroda, Y., Kiyota, Y., Kitabata, Y., & Kurosawa, M. (2013). General condition of Hikikomori (prolonged social withdrawal) in Japan: Psychiatric diagnosis and outcome in mental health welfare centres. International Journal of Social Psychiatry, 59(1), 79-86. https://doi.org/10.1177/0020764011423611
  34. Teo, A. R., Fetters, M. D., Stufflebam, K., Tateno, M., Balhara, Y., Choi, T. Y.,. & Kato, T. A. (2015). Identification of the Hikikomori syndrome of social withdrawal: psychosocial features and treatment preferences in four countries. International Journal of Social Psychiatry, 61(1), 64-72. https://doi.org/10.1177/0020764014535758