Cybercommunication Addiction Assessment Test
See how social media communication affects your daily life in about 4 minutes. Get a clear risk snapshot and actionable focus areas to curb compulsive use and protect well-being.
08:30
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DATA-BASED USER COHORTS
Who Usually Takes This Test?
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
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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.
Below is a preview of how scores are typically distributed across each scale.
Diagnosis of Cybercommunicative Addiction (DoCA)
Diagnosis of Cybercommunicative Addiction (DoCA)
Average
25.5
Normal range
12.3 — 38.7
min.
0
max.
100
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear on the scale so you can see how you compare.
Once you complete the test, your result will appear on the scale so you can see how you compare.
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SAMPLE QUESTIONS
Example Questions From the Test
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WHAT THE TEST MEASURES
About This Assessment
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Cybercommunication Addiction Assessment Test - Symptoms and Signs
This brief self-report measure screens for problematic patterns of online social communication and related functional impact. The Cybercommunication Addiction Assessment is intended to support an initial estimate of severity and to guide follow-up clinical interview when concerns are identified.
The instrument includes 20 items and typically takes about 4 minutes to complete. Items focus on habitual use, perceived loss of control, and the extent to which online communication affects mood, daily responsibilities, and interpersonal functioning. Developed by Kimberly S. Young, the Cybercommunication Addiction Assessment is best used as a screening tool rather than a stand-alone diagnostic procedure.
Author: Kimberly S. Young
Literature: Caplan, S. E. Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior. 2002.
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