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Cyberbullying Vulnerability Scale (NCS-13) Test

Take the online Cyberbullying Vulnerability Scale (NCS-13) Test - AI psychologist FreudlyYou can take Cyberbullying Vulnerability Scale (NCS-13) Test here. Online version of a simple and accurate psychological test with interpretation.en
Completed in about 3 minutes, the Cyberbullying Vulnerability Scale (NCS-13) Test estimates susceptibility to cyberbullying and aggressive online behavior. Its single result helps you understand your level of vulnerability to online victimization and reflect on prevention in social media and messaging settings.
Questions: 133 minutes
Cyberbullying Vulnerability Scale (NCS-13): situation and reply bubbles
October 2, 2025October 2, 2025Material has been updatedOctober 2, 2025Material has been published
17,925 views
1,558 completions
1,313 likes
Daniel HallPsychologist · Test reviewer
1,313 likes
Scale Explorer

How the Scales are Structured

Cyberbullying VulnerabilityCV
Measures how vulnerable a person feels to online aggression and potential victimization in digital communication.
example score20/26
20/26High vulnerabilityexample score
0 – 8Low vulnerability
9 – 17Moderate vulnerability
18 – 26High vulnerability
A score of 20 falls in the High vulnerability range, suggesting a stronger perceived susceptibility to cyberbullying and online psychological pressure.
just completed the test
DATA-BASED USER COHORTS

Who Usually Takes This Test?

Teens active on social media
41%OF USERS
Teenagers who spend a lot of time online take it to see how likely they are to become targets of harassment and what warning signs to watch for.
Students and young adults
34%OF USERS
Young people in college or early careers use it to gauge how safe they feel in online communication and how they handle digital conflict.
Counselors and school staff
25%OF USERS
Psychologists, educators, and youth workers use it for quick screening to identify at-risk individuals and plan prevention or support.
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
Benchmarking

See How You Compare

Once you complete the test, your results are compared with real-world data from people in your country.
Below is a preview of how scores are typically distributed across each scale.
Shaded area — where most people score
Dot — the average
You — your score lands on each curve after the test— your score, after the test
Vulnerability to CyberbullyingVtC
You?
Average9
Typical rangeTypical4.2 – 13.7
Possible0 – 26
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SAMPLE QUESTIONS

Example Questions From the Test

    • A) All the time
    • B) Sometimes
    • C) No
    • A) More than 100
    • B) Between 10 and 100
    • C) Fewer than 10
    • Often
    • Sometimes
    • Never
WHAT THE TEST MEASURES

Cyberbullying Vulnerability Scale (NCS-13) Test - Description and methodology of the test

bullying
cyberpsychology

For readers concerned about their susceptibility to online aggression or victimization, this Cyberbullying Vulnerability Scale (NCS-13) Test offers one focused self-report result. It functions as an online bullying vulnerability assessment, placing responses about digital experiences and conduct on a single vulnerability scale. The result indicates whether the displayed level is low, moderate, or high.

What This Assessment Explores

This assessment examines vulnerability to aggressive or humiliating behavior across social networks, forums, messaging, and other online settings. It also considers internet involvement, online contacts, reactions to disconnection, negative content, and past bullying experiences.

The result is a single vulnerability level, not a character judgment. The cyberbullying vulnerability test helps readers understand how participation, conduct, and past encounters may relate to exposure to online aggression.

The questions cover four themes, followed by the displayed scale:

  • Online involvement describes how frequently a person enters digital social spaces.
  • Social exposure covers contact with bullying, harassment, humiliation, or hostile content.
  • Digital conduct concerns behavior that may upset or target another person online.
  • Emotional and ethical responses address reactions to disconnection and responsibility in digital interactions.
  • Cyberbullying Vulnerability (0-26) gives the overall level: Low vulnerability 0-8, Moderate vulnerability 9-17, and High vulnerability 18-26.

Methodology and Evidence Base

Each item offers three response options: some ask about frequency, others about intensity, agreement, or whether an event occurred. Together, the questions cover online habits, social norms, bullying experiences, and the respondent’s digital actions.

The questionnaire produces one combined score, interpreted through the displayed bands; the numerical range alone does not reveal how individual responses contribute. It is a self-reflection measure.

Its closest published reference is the NCS-13 short-version study by Sheinov and Devitsyn in 2023. This questionnaire is conceptually consistent with that study, but is not presented as a direct adaptation. Sheinov’s 2020 source questionnaire study supplies development and preliminary validation context for the underlying questionnaire, not evidence for this online version.

Chen, Ho, and Lwin’s 2017 meta-analysis provides broader context on cyberbullying correlates through a social cognitive and media-effects approach; it does not validate this test. Published questionnaire research therefore contextualizes the construct, while evidence for this online version remains separate.

Responses may shift with memory, current circumstances, willingness to disclose, and self-awareness, so this cyberbullying risk questionnaire offers one focused perspective on digital vulnerability.

Author: Justin W. Patchin, Peter K. Smith, Sameer Hinduja
Literature:
  • Sheinov, V. P., & Devitsyn, A. S. (2023). Factor Structure of the Short Version of Cyberbullying Vulnerability Assessment Questionnaire. Systems Psychology and Sociology, 1(45), 18-30. 10.25688/2223-6872.2023.45.1.02
  • Sheinov, V. P. (2020). Questionnaire on Assessing Individual Vulnerability to Cyberbullying: Development and Preliminary Validation. RUDN Journal of Psychology and Pedagogics, 17(3), 521-541. 10.22363/2313-1683-2020-17-3-521-541
  • Chen, L., Ho, S. S., & Lwin, M. O. (2017). A Meta-Analysis of Factors Predicting Cyberbullying Perpetration and Victimization: From the Social Cognitive and Media Effects Approach. New Media & Society, 19(8), 1194-1213. 10.1177/1461444816634037

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