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METHODOLOGY

Subjects

Participants were volunteers who respondent to: (a) nationally and internationally dispersed newspaper advertisements, (b) flyers posted among local college campuses, (c) postings on electronic support groups geared towards Internet addiction (e.g., the Internet Addiction Support Group, the Webaholics Support Group), and (d) those who searched for keywords "Internet addiction" on popular Web search engines (e.g., Yahoo).

Materials

An exploratory survey consisting of both open-ended and closed-ended questions was constructed for this study that could be administered by telephone interview or electronic collection. The survey administered a Diagnostic Questionnaire (DQ) containing the eight-item classification list. Subjects were then asked such qustions as : (a) how long they have used the Internet, (b) how many hours per week they estimated spending on-line, (c) what types of applications they most utilized, (d) what made these particular applications attractive, (e) what problems, if any, did their Internet use cause in their lives, and (f) to rate any noted problems in terms of mild, moderate, or severe impairment. Lastly, demosgraphic information from each subject such as age, gender, highest educational level achieved, and vocational background were also gathered..

Procedures

Telephone respondents were administered the survey verbally at an arranged interview time. The survey was replicated electronically and existed as a World-Wide-Web (WWW) page implemented on a UNIX-based server which captured the answers into a text file. Electronic answers were sent in a text file directly to the principal investigator’s electronic mailbox for analysis. Respondents who answered "yes" to five or more of the criteria were classified as addicted Internet users for inclusion in this study. A total of 605 surveys in a three month period were collected with 596 valid responses that were classifed from the DQ as 396 Dependents and 100 Non-Dependents. Approximately 55% of the respondents replied via electronic survey method and 45% via telephone survey method. The qualitative data gathered were then subjected to content analysis to identify the range of characteristics, behaviors and attitudes found.

RESULTS

Demographics

The sample of Dependents included 157 males and 239 females. Mean ages were 29 for males, and 43 for females. Mean educational background was 15.5 years. Vocational background was classified as 42% none (i.e., homemaker, disabled, retired, students), 11% blue-collar employment, 39% non-tech white collar employment, and 8% high-tech white collar employment. The sample of Non-Dependents included 64 males and 36 females. Mean ages were 25 for males, and 28 for females. Mean educational background was 14 years.

Usage Differences

The following will outline the differences between the two groups, with an emphasis on the Dependents to observe attitudes, behaviors, and characteristics unique to this population of users.

Length of Time using Internet

The length of time using the Internet differed substantially between Dependents and Non-Dependent. Among Dependents, 17% had been online for more than one year, 58% had only been on-line between six months to one year, 17% said between three to six months, and 8% said less than three months. Among Non-Dependents, 71% had been online for more than one year, 5% had been online between six months to one year, 12% between three to six months, and 12% for less than three months. A total of 83% of Dependents had been online for less than one full year which might suggest that addiction to the Internet happens rather quickly from one’s first introduction to the service and products available online. In many cases, Dependents had been computer illiterate and described how initially they felt intimidated by using such information technology. However, they felt a sense of competency and exhilaration as their technical mastery and navigational ability improved rapidly.

Hours Per Week

In order to ascertain how much time respondents spent on-line, they were asked to provide a best estimate of the number of hours per week they currently used the Internet. It is important to note that estimates were based upon the number of hours spent "surfing the Internet" for pleasure or personal interest (e.g., personal e-mail, scanning news groups, playing interactive games) rather than academic or employment related purposes. Dependents spent a M = 38.5, SD = 8.04 hours per week compared to Non-Dependents who spent M= 4.9, SD = 4.70 hours per week. These estimates show that Dependents spent nearly eight times the number of hours per week as that of Non-Dependents in using the Internet. Dependents gradually developed a daily Internet habit of up to ten times their initial use as their familiarity with the Internet increased. This may be likened tolerance levels which develop among alcoholics who gradually increase their consumption of alcohol in order to achieve the desired effect. In contrast, Non-Dependents reported that they spent a small percentage of their time on-line with no progressive increase in use. This suggests that excessive use may be a distinguishable characteristic of those who develop a dependence to on-line usage.

Applications Used

The Internet itself is a term which represents different types of functions that are accessible on-line. Table 1 displays the applications rated as "most utilized" by Dependents and Non-Dependents. Results suggested that differences existed among the specific Internet applications utilized between the two groups as Non-Dependents predominantly used those aspects of the Internet which allowed them to gather information (i.e., Information Protocols and the World Wide Web) and e-mail. Comparatively, Dependents predominantly used the two-way communication functions available on the Internet (i.e., chat rooms, MUDs, news groups, or e-mail).

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