Internet use and misuse. Preliminary findings from a new assessment instrument.
Grab the 4-factor Internet Use Scale when you need a fast college screen for risky online habits.
01Research in Context
What this study did
The team built a new 4-factor survey called the Internet Use Scale. They gave it to 393 college students to see how many had risky online habits.
The survey asks about absorption, bad outcomes, lost sleep, and hiding use from others.
What they found
Factor analysis showed four clear problem areas. Most students scored low, so big trouble is rare in this group.
The tool is ready for quick screening, but more work is needed to set risk cut-offs.
How this fits with other research
Lau et al. (2013) did the same math trick with the Autism Quotient and also found a clean multi-factor shape. Both papers show that short self-ratings can slice a broad trait into useful chunks.
McQuaid et al. (2024) followed the same path by translating the Self-Determination Inventory into French and checking the factors. Their work extends the IUS idea to teens and another language.
Petry et al. (2010) built a Dutch mood tool for adults with profound ID. Like the IUS, factor analysis turned one messy idea into three clear scores, proving the method works across very different groups.
Why it matters
You now have a free 4-factor screener if you work with college clients. Use it during intake to spot students who lose sleep or lie about time online. The low base rate means one high score is worth a deeper chat, not panic.
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02At a glance
03Original abstract
The internet is an affordable and easily accessible technology that has many potential applications to psychology. Interactive technologies engage users psychologically and may facilitate adaptive and maladaptive behaviors. This research explored the Internet-use patterns, psychological characteristics, and negative consequences associated with online activities of 393 college students using the Internet Use Survey (IUS), a self-report instrument designed to administer online. Results indicated that participants spent an average of 3.3 total hours per day on the Internet during the past 12 months and used the medium for multiple purposes. Although participants reported the occurrence of some potentially negative consequences related to Internet use, the prevalence rates for most problematic behaviors were generally low. Exploratory principal component analysis of the IUS subscale that attempts to measure Internet-related impairment revealed four factors: absorption, negative consequences, disrupted sleep, and deception. All of these factors were then significantly related to a measure of boredom proneness. This research supports the necessity for multidimensional assessment (e.g., frequency and context) of Internet usage to enhance our understanding of how this new technology interfaces with users psychologically and behaviorally.
Behavior modification, 2003 · doi:10.1177/0145445503255600