Internet Addiction Test (IAT)

Abstract

The Internet Addiction Test (IAT), also referred to as the InAT, is a 20-item self-report questionnaire designed to measure the severity of problematic internet use, often conceptualized as Internet Addiction. Developed by Kimberly S. Young and formalized in 1998, the IAT was one of the earliest instruments created specifically to quantify excessive and uncontrollable internet use that results in behavioral issues and impairments in daily functioning. Internet Addiction is defined by Young as excessive use leading to problematic behavior and functional impairment, such as low mood when offline or lying about usage time (Servidio, 2017). Although Internet Addiction is not formally recognized as a standalone disorder in the current DSM-5, the IAT remains a widely used screening tool for identifying individuals experiencing mild to severe internet-related difficulties.

Keywords

Internet Addiction Test, IAT, Problematic Internet Use, Behavioral addiction, Psychological assessment, Kimberly Young, Technology overuse, Screening instrument.

Authors

Kimberly S. Young

Purpose

The primary purpose of the Internet Addiction Test is to screen individuals for symptoms indicative of problematic or pathological internet usage. It serves as an accessible, rapid assessment tool (typically 10–15 minutes) for researchers and clinicians seeking to quantify the extent to which internet use negatively impacts a person’s life, including their relationships, work or academic performance, sleep patterns, and emotional stability.

The scale assists in categorizing users into three levels of use: average, problematic, and severely problematic. This standardized scoring system provides immediate feedback on the severity of potential addiction symptoms, guiding decisions regarding intervention or further clinical evaluation. The IAT’s original development was inspired by observations of relationship distress caused by excessive internet use (Young, 2017) and was initially structured using the criteria for pathological gambling found in the DSM-IV-TR.

Construct

The IAT measures the construct of Internet Addiction (IA), defined by Young (1998) as the excessive and uncontrollable engagement with the internet that ultimately leads to significant impairment in daily function and distress. This conceptualization mirrors criteria used for other substance-related and behavioral addictions.

The 20 items assess various dimensions of this construct, including cognitive preoccupation (e.g., anticipating going online), behavioral consequences (e.g., neglecting chores or work), tolerance and withdrawal symptoms (e.g., feeling depressed when offline, or needing more time online), and deceptive behavior (e.g., becoming secretive about online activity). The instrument aims to capture the full spectrum of addictive behaviors as manifested through the internet platform.

Validity

Research has generally supported the validity of the IAT, particularly in general and university samples. Studies have demonstrated appropriate convergent validity, showing strong correlations between the IAT and other established measures of problematic internet use, such as the Revised Chen Internet Addiction Scale (Servidio, 2017). Furthermore, the IAT exhibits discriminant validity by correlating meaningfully with related psychological states, such as depression, and actual internet-related behaviors (e.g., time spent online and reasons for usage).

However, limitations concerning its clinical application have been raised. One study (Kim et al., 2013) suggested that the IAT was not sensitive enough to effectively discriminate between pathological and non-pathological internet users within a clinical population, leading to advice that caution should be exercised when using the IAT for definitive diagnostic purposes in clinical or adolescent populations.

Reliability

The IAT generally demonstrates acceptable internal consistency and reliability across various translations and adult populations. Despite this overall positive assessment, studies examining the psychometric properties of the scale have indicated issues related to consistency, particularly when administered to younger cohorts. Research suggests that the IAT exhibits lower reliability scores in adolescent populations compared to college-aged or general adult populations (Frangos, Frangos, & Sotiropoulos, 2012).

These reliability discrepancies may stem from conceptual difficulties inherent in measuring Internet Addiction, which is subject to the changing face and social use of the internet itself. While useful for general screening, its application in sensitive diagnostic settings, particularly for adolescents, is recommended only with further research and careful interpretation.

Factor Analysis

Factor analysis of the IAT has yielded inconsistent results across different research teams and cultural contexts. Studies have reported the extraction of anywhere from one up to six distinct factors (Jelenchick, 2012). This variability reflects ongoing debate regarding the underlying structure of Internet Addiction—specifically, whether it represents a singular disorder or merely a platform that enables other existing pathological disorders, such as online gambling.

Despite the wide range of findings, a two-factor structure tends to be the most commonly supported model in the literature (Faraci et al., 2013). The continuing discrepancy in factor structure suggests that while the IAT is a useful screening tool, its internal structure may be sensitive to population characteristics and cultural definitions of problematic internet usage.

Instrument

Test Type: Self-report questionnaire / Screening Instrument

Format: 20 items rated on a 6-point scale (0 = does not apply, 5 = always). Total scores range from 0 to 100.

Language Available: Multiple translations exist due to international validation studies (e.g., Polish, Bangladeshi, Turkish, Spanish, Greek, Indian).

Population Group: General community and university populations for screening purposes.

Age Group: Adolescent age onwards.

Population Details: Can be administered to any internet user with basic literacy. It is designed to take no more than 10–15 minutes to complete.

Test Methodology: The IAT is considered easy to administer and can be distributed online. Scoring interpretation is based on the following ranges:

• 0–39 points: Average usage.
• 40–69 points: Problematic usage (occasional or frequent problems).
• 70–100 points: Severely problematic usage (significant impairment).

Keywords

Screening tool, Psychometric properties, Likert scale, Diagnostic criteria, Young, IAT-A, Self-report, Online behavior.

Authors

Author ORCID Identifier: Not provided in source.

Affiliation Email addresses: Fatemeh Bidi [[email protected]] (Associated with a translation/distribution).

Correspondence Address: Not provided in source.

Permissions & Fee and Test Year

The IAT is currently freely available online through peer-reviewed scholarly journals, and there does not appear to be any restriction on its use for research or screening purposes. The initial 8-item screener was developed in 1996, and the 20-item version (InAT) was introduced in 1998.

Reference’s

• Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237-244.
• Young, K. S. (2009). Internet Addiction: The Emergence of a New Clinical Disorder. Cyberpsychology & Behavior, 1(3); 237-244.
• Widyanto, L., & McMurran, M. (2004). The Psychometric Properties of the Internet Addiction Test. Cyberpsychology & Behavior, 7(4); 443-450.
• Jelenchick, L. A., Becker, E. A., & Moreno, M. A. (2012). An update on the psychometric properties of the Internet Addiction Test: implications for measurement of problematic Internet use in adolescents and young adults. Cyberpsychology, Behavior, and Social Networking, 15(12), 655-660.
• Frangos, C. C., Frangos, C. C., & Sotiropoulos, I. (2012). A psychometric investigation of the Internet Addiction Test: reliability and structure. Journal of Medical Internet Research, 14(5), e144.
• Faraci, P., Craparo, G., Messina, R., & Severino, S. (2013). Internet Addiction Test (IAT): A psychometric contribution. Europe’s Journal of Psychology, 9(2), 227–235.
• Kim, Y. J., Park, J. E., Ryu, H. S., Yu, H. S., & Ha, C. J. (2013). The utility of the Internet Addiction Test (IAT) in discriminating between pathological and non-pathological internet users in a clinical population. Psychiatry Investigation, 10(4), 365–371.
• Servidio, R. (2017). The Internet Addiction Test (IAT): The psychometric properties of the Italian version. Computers in Human Behavior, 72, 172-181.
• The instrument can also be found online here: https://db.arabpsychology.com/internet-addiction-test/

Items of the Internet Addiction Test (IAT)

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way.

Respondents rate the frequency of each behavior on a 6-point scale (e.g., Rarely or never to Always).

1. How often do you find that you stay on-line longer than you intended?
2. How often do you neglect household chores to spend more time on-line?
3. How often do you prefer the excitement of the Internet to intimacy with your partner?
4. How often do you form new relationships with fellow on-line users?
5. How often do others in your life complain to you about the amount of time you spend on-line?
6. How often do your grades or school work suffer because of the amount of time you spend on-line?
7. How often do you check your e-mail before something else that you need to do?
8. How often does your job performance or productivity suffer because of the Internet?
9. How often do you become defensive or secretive when anyone asks you what you do on-line?
10. How often do you block out disturbing thoughts about your life with soothing thoughts of the Internet?
11. How often do you find yourself anticipating when you will go on-line again?
12. How often do you fear that life without the Internet would be boring‚ empty‚ and joyless?
13. How often do you snap‚ yell‚ or act annoyed if someone bothers you while you are on-line?
14. How often do you lose sleep due to late-night log-ins?
15. How often do you feel preoccupied with the Internet when off-line‚ or fantasize about being on-line?
16. How often do you find yourself saying “just a few more minutes” when on-line?
17. How often do you try to cut down the amount of time you spend on-line and fail?
18. How often do you try to hide how long you’ve been on-line?
19. How often do you choose to spend more time on-line over going out with others?
20. How often do you feel depressed‚ moody‚ or nervous when you are off-line‚ which goes away once you are back on-line?