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cyberpsychology

Internet Addiction Test

Take the online Internet Addiction Test - AI psychologist FreudlyYou can take Internet Addiction Test here. Online version of a simple and accurate psychological test with interpretation.en
After 20 questions completed in about four minutes, the Internet Addiction Test helps you reflect on how strongly online activity may affect everyday responsibilities, relationships, mood, and sleep. Your result highlights the degree of involvement shown by your answers, offering a clear starting point for understanding your digital habits.
Questions: 204 minutes
Internet Addiction Test: agreement scale card
October 2, 2025October 2, 2025Material has been updatedOctober 2, 2025Material has been published
23,578 views
2,656 completions
2,127 likes
Daniel HallPsychologist · Test reviewer
2,127 likes
Scale Explorer

How the Scales are Structured

Internet Addiction ScaleIAS
Measures how strongly a person’s internet use is involved in their life and how much it interferes with daily functioning and relationships.
example score80/100
80/100Pronounced dependenceexample score
20 – 49No signs
50 – 79Significant influence
80 – 100Pronounced dependence
A score of 80 falls in the Pronounced dependence range, suggesting internet use is strongly affecting daily life and may be difficult to control.
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DATA-BASED USER COHORTS

Who Usually Takes This Test?

Heavy daily internet users
41%OF USERS
People who spend many hours online take it to check whether internet use is hurting productivity, sleep, or relationships.
Concerned parents of teens
34%OF USERS
Parents use the adapted version to understand if a child’s online behavior looks compulsive or is causing conflicts at home or school.
Students under stress
25%OF USERS
Students take it when deadlines slip and they suspect scrolling or gaming is becoming a way to avoid real-life stress.
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
Internet Addiction ScaleIAS
You?
Average68.3
Typical rangeTypical55.7 – 81
Possible20 – 100
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SAMPLE QUESTIONS

Example Questions From the Test

    • Very rarely
    • Sometimes
    • Often
    • Very often
    • Always
    • Very rarely
    • Sometimes
    • Often
    • Very often
    • Always
    • Very rarely
    • Sometimes
    • Often
    • Very often
    • Always
WHAT THE TEST MEASURES

Internet Addiction Test - Description and methodology of the test

cyberpsychology
computer addiction

Readers unsure whether online habits have become difficult to manage can use the Internet Addiction Test to examine that concern in a structured way. It is intended for people reviewing their own behavior and considering whether a recurring pattern deserves attention or a change in boundaries. The format works as an internet addiction questionnaire, helping turn a vague sense of overuse into a result to reflect on.

What This Assessment Explores

Questions cover loss of control and effects on daily functioning: work, duties, sleep, relationships, preoccupation, concealment, emotional reliance, and attempts to cut down.

The Internet Addiction Scale ranges from 20-100 and assesses involvement in internet-related activities and potential impact on daily functioning. Its bands are No signs (20-49), Significant influence (50-79), and Pronounced dependence (80-100). Low scores suggest no signs; 50-79 indicates significant impact; 80-100 is described as marked addiction requiring professional attention. For readers concerned about problematic internet use, it organizes concerns for reflection.

These are the item themes:

  • Loss of control shows whether sessions exceed intention or resisting them proves difficult.
  • Functional impact shows whether use interferes with work, duties, relationships, or sleep.
  • Preoccupation and emotional reliance show whether online access occupies attention or changes mood.
  • Social effects show whether use displaces in-person contact or creates conflict.

Methodology and Scientific Basis

The response format asks how often each situation occurs, using five choices from very rarely or rarely to always. Items address behavior and consequences, so the result reflects repeated self-report rather than minutes online alone. Responses are summarized on the displayed scale and interpreted through its bands.

Kimberly Young's published IAT supplies the relevant framework of loss of control, salience, withdrawal-like reactions, and interference with daily life. Widyanto and McMurran examined that published instrument's psychometric properties, while Widyanto, Griffiths, and Brunsden compared it with another problem scale and self-diagnosis. This online questionnaire is conceptually consistent with Young's instrument, but those studies do not validate this specific online version.

When the result is used for internet addiction screening, read it alongside current stress, sleep, mood, work demands, and relationship conflict, all of which can shape self-report. The online score is a structured self-report result, not a standardized diagnostic measure, so it cannot establish a disorder or explain its cause. Honest answers and concrete examples make a persistent pattern easier to interpret.

Author: Kimberly S. Young
Literature:
  • Widyanto, L., & McMurran, M. (2004). The Psychometric Properties of the Internet Addiction Test. CyberPsychology & Behavior, 7(4), 443-450. 10.1089/cpb.2004.7.443
  • Young, K. S. (1998). Caught in the Net: How to Recognize the Signs of Internet Addiction-and a Winning Strategy for Recovery. New York: John Wiley & Sons. ISBN 978-0-471-19159-9
  • Widyanto, L., Griffiths, M. D., & Brunsden, V. (2011). A Psychometric Comparison of the Internet Addiction Test, the Internet-Related Problem Scale, and Self-Diagnosis. Cyberpsychology, Behavior, and Social Networking, 14(3), 141-149. 10.1089/cyber.2010.0151

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