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Development and Validation Study of the Internet Overuse Screening Questionnaire

Overview of attention for article published in Psychiatry Investigation, March 2018
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Title
Development and Validation Study of the Internet Overuse Screening Questionnaire
Published in
Psychiatry Investigation, March 2018
DOI 10.30773/pi.2017.09.27.2
Pubmed ID
Authors

Han-Kyeong Lee, Hae-Woo Lee, Joo Hyun Han, Subin Park, Seok-Jin Ju, Kwanwoo Choi, Ji Hyeon Lee, Hong Jin Jeon

Abstract

Concerns over behavioral and emotional problems caused by excessive internet usage have been developed. This study intended to develop and a standardize questionnaire that can efficiently identify at-risk internet users through their internet usage habits. Participants (n=158) were recruited at six I-will-centers located in Seoul, South Korea. From the initial 36 questionnaire item pool, 28 preliminary items were selected through expert evaluation and panel discussions. The construct validity, internal consistency, and concurrent validity were examined. We also conducted Receiver Operating Curve (ROC) analysis to assess diagnostic ability of the Internet Overuse Screening-Questionnaire (IOS-Q). The exploratory factor analysis yielded a five factor structure. Four factors with 17 items remained after items that had unclear factor loading were removed. The Cronbach's alpha for the IOS-Q total score was 0.91, and test-retest reliability was 0.72. The correlation between Young's internet addiction scale and K-scale supported concurrent validity. ROC analysis showed that the IOS-Q has superior diagnostic ability with the Area Under the Curve of 0.87. At the cut-off point of 25.5, the sensitivity was 0.93 and specificity was 0.86. Overall, this study supports the use of IOS-Q for internet addiction research and for screening high-risk individuals.

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Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Doctoral Student 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Unspecified 2 7%
Other 5 17%
Unknown 6 21%
Readers by discipline Count As %
Psychology 5 17%
Social Sciences 4 14%
Medicine and Dentistry 3 10%
Unspecified 2 7%
Business, Management and Accounting 2 7%
Other 6 21%
Unknown 7 24%