Psychometric Properties of the Problematic Internet Use Questionnaire Short-Form (PIUQ-SF-6) in a Nationally Representative Sample of Adolescents
Psychometric Properties of the Problematic Internet Use Questionnaire Short-Form (PIUQ-SF-6) in a Nationally Representative Sample of Adolescents
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DOI：
10.1371/journal.pone.0159409
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发表时间：
2016-08-09
期刊：
影响因子：
3.7
通讯作者：
Urban, Robert
中科院分区：
文献类型：
--
作者：
Demetrovics, Zsolt;Kiraly, Orsolya;Urban, Robert
尽管有大量的测量工具来评估有问题的互联网使用，许多研究使用的措施，只有适度的调查，他们的心理测量学属性。本研究的目的是验证简短（6项）版本的有问题的互联网使用问卷（PIUQ）的全国代表性的青少年样本（n = 5,005;平均年龄16.4岁，SD = 0.87），并确定一个统计学上建立的截止值。数据是在欧洲学校酒精和其他毒品调查项目的框架内收集的。结果表明，原始的三因素结构的数据可以接受的拟合。此外，MIMIC模型进行了证明需要三个不同的因素。样本被分为用户在有问题的互联网使用的风险和那些没有风险使用潜在的配置文件分析。两个潜在的类，获得了14.4%的青少年属于高危群体。同时和收敛效度进行了测试，通过比较两组在一些变量（i。例如，在线时间、学业成绩、自尊、抑郁症状和偏好的在线活动）。使用风险潜在特征分析类别作为金标准，基于灵敏度和特异性分析，建议临界值为15（30分）。总之，（6项）PIUQ的简短版本似乎也是一个适当的措施，以区分互联网用户之间的风险发展成问题的互联网使用和那些没有风险。此外，由于其简洁性，缩短的PIUQ有利于在大规模调查中使用，通过减少调查问题的总数来评估许多不同的行为和/或结构，并且因此可能增加完成率。
Despite the large number of measurement tools developed to assess problematic Internet use, numerous studies use measures with only modest investigation into their psychometric properties. The goal of the present study was to validate the short (6-item) version of the Problematic Internet Use Questionnaire (PIUQ) on a nationally representative adolescent sample (n = 5,005; mean age 16.4 years, SD = 0.87) and to determine a statistically established cut-off value. Data were collected within the framework of the European School Survey Project on Alcohol and Other Drugs project. Results showed an acceptable fit of the original three-factor structure to the data. In addition, a MIMIC model was carried out to justify the need for three distinct factors. The sample was divided into users at-risk of problematic Internet use and those with no-risk using a latent profile analysis. Two latent classes were obtained with 14.4% of adolescents belonging to the at-risk group. Concurrent and convergent validity were tested by comparing the two groups across a number of variables (i. e., time spent online, academic achievement, self-esteem, depressive symptoms, and preferred online activities). Using the at-risk latent profile analysis class as the gold standard, a cut-off value of 15 (out of 30) was suggested based on sensitivity and specificity analyses. In conclusion, the brief version of the (6-item) PIUQ also appears to be an appropriate measure to differentiate between Internet users at risk of developing problematic Internet use and those not at risk. Furthermore, due to its brevity, the shortened PIUQ is advantageous to utilize within large-scale surveys assessing many different behaviors and/ or constructs by reducing the overall number of survey questions, and as a consequence, likely increasing completion rates.