Journals / Türk Psikoloji Yazıları / 2021 / Cilt: 24 - Sayı: 48

The Development of Online Disinhibition Scale: Reliability and Validity Study

Implicit Processes in Close Relationships: Implicit Partner Attitudes and Relationship Outcomes

Pages
16–28
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

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

According to the results of exploratory factor analysis with pilot data, the two-factor model appeared, which are named “reduced responsibility of negative behavior” and “facilitated communication.” Results of confirmatory factor analysis with 517 participants showed that the two-factor model had shown a good model fit.

📌 3 Key Takeaways

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Objective & Hypothesis:The present study aims to develop an instrument to measure the online disinhibition which is associated with individuals feeling and behaving differently in online and face-to-face contexts.
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Key Findings & Data:Based on the Social Identity Model of Deindividuation (SIDE) Model, a draft scale with 15 items was prepared.
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Conclusion & Impact:According to the results of exploratory factor analysis with pilot data, the two-factor model appeared, which are named “reduced responsibility of negative behavior” and “facilitated communication.” Results of confirmatory factor analysis with 517 participants showed that the two-factor model had shown a good model fit.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The present study aims to develop an instrument to measure the online disinhibition which is associated with individuals feeling and behaving differently in online and face-to-face contexts. Based on the Social Identity Model of Deindividuation (SIDE) Model, a draft scale with 15 items was prepared. A pilot study was conducted with 130 university students (88 female, 42 male) and the main study included 517 university students (266 female, 250 male, 1 non-specified). According to the results of exploratory factor analysis with pilot data, the two-factor model appeared, which are named “reduced responsibility of negative behavior” and “facilitated communication.” Results of confirmatory factor analysis with 517 participants showed that the two-factor model had shown a good model fit. Internal consistency measures of the factors are .83 and .80, deemed acceptable. Further validity findings such as the relationship with personality characteristics, communication skills, and gender are provided and discussed as well. Overall, findings support that the Online Disinhibition Scale shows sufficient psychometric evidence

Özet

Bu çalışmada, bireylerin yüz yüze iletişim ve çevrimiçi iletişimde farklı hissetmesi ve davranması ile ilişkili olan çevrimiçi iletişimde disinhibisyon düzeyinin ölçülmesi için bir ölçek geliştirme çalışması gerçekleştirmek amaçlanmıştır. Bu nedenle, Kimlik Belirsizliğinin Sosyal Benlik modelinden (Social Identity Model of Deindividuation; SIDE) yola çıkarak 15 maddelik bir taslak ölçek hazırlanmıştır. Açımlayıcı faktör analizi (AFA) için gerçekleştirilen pilot çalışmaya 130 üniversite öğrencisinden (88 Kadın, 42 Erkek), doğrulayıcı faktör analizi (DFA) için ise 517 üniversite öğrencisinden veri toplanmıştır (266 Kadın, 250 Erkek, 1 belirtilmemiş). AFA sonucunda ölçeğin “olumsuz sonuçların sorumluluğunun azalması” ve “iletişim kolaylığı” olarak iki boyuttan oluştuğu görülmüştür. DFA sonuçları ise 14 maddeli ve iki boyutlu yapının kabul edilebilir özelliklere sahip olduğunu göstermiştir. Boyutların Cronbach alfa iç tutarlık katsayısı sırasıyla .83 ve .80 olarak bulunmuştur. Değerlendirmeler Çevrimiçi Disinhibisyon Ölçeği’nin alanda kullanılabilecek yeterli psikometrik özelliklere sahip olduğunu göstermektedir. Ölçeğin kişilik özellikleri, iletişim becerileri ve cinsiyet ile nasıl bir ilişki gösterdiği ile ilgili de bazı bulgular sunulmuştur

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Cite This Article

AYAS, S., Çapa-Aydın, Y. (2022). The Development of Online Disinhibition Scale: Reliability and Validity Study. Türk Psikoloji Yazıları, Cilt: 24 - Sayı: 48, 16–28. https://ajindex.com/articles/642082

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References (11)

  1. Aktaş, H. & Yılmaz, N. (2017). Smartphone addiction in terms of the elements of loneliness and shyness of university youth. International Journal of Social Sciences and Education Research, 3(1), 85-100.
  2. Altundağ, Y. (2016). The relationship betweeb problematic internet use and cyberbullying among high school students. Online Journal of Technology Addiction & Cyberbullying, 3(1), 27-43. Alvídrez, S., Piñeiro-Naval, V., Marcos-Ramos, M. & Rojas-Solís, J. L. (2015). Intergroup contact in computer-mediated communication: The interplay of a stereotype-disconfirming behavior and a lasting group identity on reducing prejudiced perceptions. Computers in Human Behavior, 52, 533-540.
  3. Amichai-Hamburger, Y. (2007). Personality, individual differences and Internet use.A. Joinson, K. McKenna, T. Postmes, & U.D. Reips (Ed.),Oxford handbook of internet psychology (s.187 -204 )içinde. Oxford, UK: Oxford University Press.
  4. Amichai-Hamburger, Y. & Hayat, Z. (2013). Internet and personality. Y. Amichai-Hamburger (Ed.), The social net: Understanding our online behavior (2.bs), (s.1-10 ) içinde. Oxford, UK: Oxford University Press.
  5. Amichai-Hamburger, Y., Wainapel, G. & Fox, S. (2002). “On the internet no one knows I’m an introvert”: Extroversion, neuroticism, and internet interaction. Cyberpsychology & behavior, 5(2), 125-128.
  6. Arbuckle, J. L. (2014). Amos 23.0 User’s Guide. Chicago: IBM SPSS. Atak, H. (2013). The Turkish adaptation of the ten-Item personality inventory. Archives of Neuropsychiatry, 50(4), 312. Ayvaşık, H. B., Er, N. M., Kışlak, Ş. T., & Erkuş, A. (2000). Psikoloji terimleri sözlüğü. Ankara: Türk Psikologlar Derneği Yayınları.
  7. Baker, L. R.& Oswald, D. L. (2010). Shyness and online social networking services. Journal of Social and Personal Relationships, 27(7), 873-889.
  8. Bruss, O. E. & Hill, J. M. (2010). Tell me more: Online versus face-to-face communication and self-disclosure. Psi Chi Journal of Undergraduate Research, 15(1), 3-7.
  9. Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2. bs.) New York, NY: Taylor & Francis. Casale, S., Lecchi, S.& Fioravanti, G. (2015). The association between psychological well-being and problematic use of Internet communicative services among young people. The Journal of Psychology, 149(5), 480-497.
  10. Caspi, A.&Gorsky, P. (2006). Online deception: Prevalence, motivation, and emotion. CyberPsychology & Behavior, 9(1), 54-59.
  11. Cheung, C. M., Wong, R. Y. M.& Chan, T. K. (2016, Ara