A New Measurement of Internet Addiction Using Diagnostic Classification Models
Open Access
- 10 October 2017
- journal article
- research article
- Published by Frontiers Media SA in Frontiers in Psychology
Abstract
To obtain accurate, valid and rich information from the questionnaires for internet addiction, a diagnostic classification test for internet addiction (the DCT-IA) was developed using diagnostic classification models (DCMs), a cutting-edge psychometric theory, based on DSM-5. A calibration sample and a validation sample were recruited in this study to calibrate the item parameters of the DCT-IA and to examine the sensitivity and specificity. The DCT-IA had high reliability and validity based on both CTT and DCMs, and had a sensitivity of 0.935 and a specificity of 0.817 with AUC=0.919. More important, different from traditional questionnaires, the DCT-IA can simultaneously provide general-level diagnostic information and the detailed symptom criteria-level information about the posterior probability of satisfying each symptom criterion in DMS-5 for each patient, which gives insight into tailoring individual-specific treatments for internet addiction.Funding Information
- National Natural Science Foundation of China (31660278, 31760288)
This publication has 22 references indexed in Scilit:
- Examining the structure of the Internet Addiction Test in adolescents: A bifactor approachComputers in Human Behavior, 2013
- Validation and psychometric properties of a short version of Young’s Internet Addiction TestComputers in Human Behavior, 2013
- Development of a Computerized Adaptive Test for DepressionArchives of General Psychiatry, 2012
- An Empirically Based Method of Q‐Matrix Validation for the DINA Model: Development and ApplicationsJournal of Educational Measurement, 2008
- A general diagnostic model applied to language testing dataBritish Journal of Mathematical and Statistical Psychology, 2008
- Measurement of psychological disorders using cognitive diagnosis models.Psychological Methods, 2006
- Further Investigation of the Performance of S - X2: An Item Fit Index for Use With Dichotomous Item Response Theory ModelsApplied Psychological Measurement, 2003
- Validation of a New Scale for Measuring Problematic Internet Use: Implications for Pre-employment ScreeningCyberPsychology & Behavior, 2002
- Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory ModelsApplied Psychological Measurement, 2000
- Internet Addiction: The Emergence of a New Clinical DisorderCyberPsychology & Behavior, 1998