Scam Quiz

People who want to sharpen everyday judgment around suspicious messages, payment requests, and impersonation attempts can use the scam quiz as a practical self-check. It suits readers who want to notice pressure tactics before acting and build a habit of independent verification. The questionnaire, a quiz about recognizing fraud, turns familiar online situations into clear decisions about when to pause, question, and verify, supporting scam prevention.

What This Assessment Explores

Practical recognition of scam warning signs is the focus of this assessment, rather than personality or general technical skill. Its scenarios cover romance-related requests, fake employers, investment promises, charity appeals, account alerts, technical-support pop-ups, altered payment details, and contacts imitating trusted organizations.

The result reports Scam Knowledge (0-16): how consistently a respondent identifies established red flags and safer verification steps. It suits anyone who handles messages, purchases, work requests, donations, or account notices and wants a structured check of everyday judgment.

The result is shown in these bands:

• Foundation Needed (0-6) indicates that several important warning signs may be unfamiliar.
• Developing Awareness (7-12) indicates recognition of common tactics, with subtler impersonation or recovery schemes easier to miss.
• Strong Awareness (13-16) indicates consistent recognition of established red flags and safer verification steps.

Methodology and Evidence Base

Applied decisions make the questionnaire an assessment of scam detection skills. Each item presents a situation with four options and asks for the safest interpretation or action. Scenarios assess social engineering, independent link checking, credential protection, one-time-code safety, and resistance to risky payment routes.

The score summarizes these choices as an educational knowledge result, with catalogue-defined bands that do not indicate whether a contact is genuine.

The closest conceptual reference is the 2026 CyberAbility Scale study by Carminati and colleagues, a published screening measure of cyberscam risk. This questionnaire is conceptually consistent with that work, not an adaptation or validation of the scale. Carminati, Ponsford, and Gould’s Delphi and interview study offers a related conceptual reference and example of scenario co-development; it does not validate this questionnaire. Getz, Levin, and Galvin’s situational-judgement research supports decisions in context, while Sarno, Harris, and Black’s study links phishing susceptibility with individual differences.

Because the score relies on hypothetical-scenario responses, attention, prior experience, confidence, and current circumstances can influence answers. The result can guide reflection and safer habits, but it cannot confirm that a contact is genuine.