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| Skala Mangsa Buli Siber× | Skala Sokongan Sosial Dalam Talian× | |
|---|---|---|
| Bidang | Informatik Kesihatan | Informatik Kesihatan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2008 | 2011 |
| Pengasas≠ | Peter K. Smith, Jess Mahdavi, et al. | Joana Vilelas, Carla Tomás; Emma Nick, David Cole et al. |
| Jenis | Self-report questionnaire | Self-report questionnaire |
| Sumber perintis≠ | Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008). Cyberbullying: its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385. DOI ↗ | Vilelas, J. M., & Tomás, C. C. (2011). Internet social support: An instrument for studying virtual communities of patients with fibromyalgia. Computers, Informatics, Nursing, 29(10), 576–585. link ↗ |
| Alias | CBVS, Cyberbullying Victimization, Online Harassment Scale | OSSS, Online Social Support, Internet Social Support |
| Berkaitan | 3 | 3 |
| Ringkasan≠ | The Cyberbullying Victimization Scale measures the frequency and nature of bullying experienced through digital channels—social media, text messages, gaming platforms, email, and online forums. Developed by Smith and colleagues (2008) and refined through meta-analytic synthesis by Kowalski and colleagues (2014), the scale captures both the prevalence of cyberbullying incidents and their psychological impact, distinguishing cyberbullying from traditional in-person bullying by its permanence, ease of viral spread, and 24/7 accessibility. | The Online Social Support Scale measures the perceived availability and quality of emotional, informational, and practical support received through digital channels—social media, online communities, forums, messaging apps, and digital platforms. Developed by Vilelas and Tomás (2011) for patients with chronic illness and refined by Nick and colleagues (2017), the scale recognizes that social support increasingly flows through digital networks, particularly for geographically dispersed, stigmatized, or medically complex populations who benefit from asynchronous, text-based support. |
| ScholarGateSet data ↗ |
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