Top

International Journal of Mental Health and Addiction

Published in:

01-02-2017

Psychometric Properties of a German Version of the Young Diagnostic Questionnaire (YDQ) in two Independent Samples of Adolescents

Authors: Lutz Wartberg, Tony Durkee, Levente Kriston, Peter Parzer, Gloria Fischer-Waldschmidt, Franz Resch, Marco Sarchiapone, Camilla Wasserman, Christina W. Hoven, Vladimir Carli, Danuta Wasserman, Rainer Thomasius, Romuald Brunner, Michael Kaess

Published in: International Journal of Mental Health and Addiction | Issue 1/2017

Abstract

The Young Diagnostic Questionnaire (YDQ) is the most frequently used unidimensional measure to assess pathological Internet use. To date, investigations on the factorial validity of the YDQ using confirmatory factor analysis (CFA) are not available in the scientific literature. Empirical findings on the psychometric properties of the German translation of the YDQ are also lacking. Data were collected on two German samples of 1444 and 2713 adolescents. A confirmatory factor analysis (CFA) was conducted. We also calculated reliability coefficients and correlations between the YDQ and external criteria of Internet use. The models showed excellent global goodness-of-fit and satisfying local parameters. A unidimensional model seems to fit the data very well. We observed rather low reliability coefficients. The results indicate an acceptable construct validity of the German YDQ. The German version of the YDQ is a suitable instrument for measuring pathological Internet use in adolescent populations.

Aiken, L. R., & Groth-Marnat, G. (2006). Psychological testing and assessment (12th ed.). Boston: Allyn and Bacon.

Alavi, S. S., Maracy, M. R., Jannatifard, F., & Eslami, M. (2011). The effect of psychiatric symptoms on the internet addiction disorder in Isfahan’s university students. Journal of Research in Medical Sciences, 16(6), 793–800.PubMedPubMedCentral

American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington DC: American Psychiatric Publishing.

Andreassen, C. S., Griffiths, M. D., Gjertsen, S. R., Krossbakken, E., Kvam, S., & Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90–99. doi:10.1556/JBA.2.2013.003.CrossRefPubMed

Bakken, I. J., Wenzel, H. G., Gotestam, K. G., Johansson, A., & Oren, A. (2009). Internet addiction among Norwegian adults: a stratified probability sample study. Scandinavian Journal of Psychology, 50(2), 121–127. doi:10.1111/j.1467-9450.2008.00685.x.

Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for Internet addiction. CyberPsychology & Behavior, 4(3), 377–383. doi:10.1089/109493101300210286.

Cao, F., & Su, L. (2006). Internet addiction among Chinese adolescents: prevalence and psychological features. Child: Care, Health and Development, 33(3), 275–281. doi:10.1111/j.1365-2214.2006.00715.x.

Cao, F., Su, L., Liu, T., & Gao, X. (2007). The relationship between impulsivity and internet addiction in a sample of Chinese adolescents. European Psychiatry, 22(7), 466–471.CrossRefPubMed

Caplan, S. E. (2002). Problematic internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior, 18(5), 533–575. doi:10.1016/S0747-5632(02)00004-3.CrossRef

Chang, M. K., & Law, S. P. M. (2008). Factor structure for Young’s internet addiction test: a confirmatory study. Computers in Human Behavior, 24(6), 2597–2619. doi:10.1016/j.chb.2008.03.001.CrossRef

Chen, S., Weng, L., Su, Y., Wu, H., & Yang, P. (2003). Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology, 45, 279–294.

Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students' case. Computers & Education, 35(1), 65–80. doi:10.1016/S0360-1315(00)00019-1.CrossRef

Dowling, N. A., & Quirk, K. L. (2009). Screening for internet dependence: do the proposed diagnostic criteria differentiate normal from dependent internet use? Cyberpsychology & Behavior, 12(1), 21–27. doi:10.1089/cpb.2008.0162.CrossRef

Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus, B., et al. (2012). Prevalence of pathological internet use among adolescents in Europe: demographic and social factors. Addiction, 107(12), 2210–2222. doi:10.1111/j.1360-0443.2012.03946.x.CrossRefPubMed

Fisoun, V., Floros, G., Geroukalis, D., Ioannidi, N., Farkonas, N., Sergentani, E., et al. (2012). Internet addiction in the island of Hippocrates: the associations between internet abuse and adolescent off-line behaviours. Child and Adolescent Mental Health, 17(1), 37–44. doi:10.1111/j.1475-3588.2011.00605.x.CrossRef

Frangos, C. C., Frangos, K. C., & Kiohos, A. (2010). Internet addiction among Greek university students: demographic associations with the phenomenon, using the Greek version of Young’s internet addiction test. International Journal of Economic Sciences and Applied Research, 3(1), 49–74.

Huang, R. L. Z., Lu, J. J., Liu, Y. M., You, Y. M., Pan, Z. Q., Wei, Z., et al. (2009). Features and predictors of problematic internet use in Chinese college students. Behaviour & Information Technology, 28(5), 485–490. doi:10.1080/01449290701485801.CrossRef

Johansson, A., & Gotestam, K. G. (2004). Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12–18 years). Scandinavian Journal of Psychology, 45(3), 223–229.CrossRefPubMed

IBM Corp. (2013). IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.

Kesici, S., & Sahin, I. (2010). Turkish adaptation study of Internet Addiction Scale. CyberPsychology, Behavior, & Social Networking, 13(2), 185–189. doi:10.1089/cyber.2009.0067.CrossRef

Kuss, D. J., van Rooij, A., Shorter, G. W., Griffiths, M. D., & van de Mheen, D. (2013). Internet addiction in adolescents: prevalence and risk factors. Computers in Human Behavior, 29(5), 1987–1896. doi:10.1016/j.chb.2013.04.002.CrossRef

Kuss, D. J., Shorter, G. W., van Rooij, A., Griffiths, M. D., & Schoenmakers, T. M. (2014). Assessing internet addiction using the parsimonious internet addiction components model – preliminary study. International Journal of Mental Health and Addiction, 12(3), 351–366. doi:10.1007/s11469-013-9459-9.

Laconi, S., Rodgers, R. F., & Chabrol, H. (2014). The measurement of internet addiction: a critical review of existing scales and their psychometric properties. Computers in Human Behavior, 41, 190–202. doi:10.1016/j.chb.2014.09.026.CrossRef

Li, Y., Zhang, X., Lu, F., Zhang, Q., & Wang, Y. (2014). Internet addiction among elementary and middle school students in China: a nationally representative sample study. CyberPsychology, Behavior, & Social Networking, 17(2), 111–116. doi:10.1089/cyber.2012.0482.CrossRef

Meerkerk, G. J., van den Eijnden, R. J., Vermulst, A. A., & Garretsen, H. F. (2009). The compulsive internet use scale (CIUS): some psychometric properties. Cyberpsychology & Behavior, 12(1), 1–6. doi:10.1089/cpb.2008.0181.CrossRef

Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115–132.CrossRef

Muthén, L. K., & Muthén, B. O. (2012). Mplus User’s Guide (7th ed.pp. 1998–2012). Los Angeles, CA: Muthén & Muthén.

Osada, H. (2013). Internet addiction in Japanese college students: is Japanese version of internet addiction test (JIAT) useful as a screening tool? Bulletin of Senshu University School of Human Sciences, 3(1), 71–80.

Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.

Siomos, K. E., Dafouli, E. D., Braimiotis, D. A., Mouzas, O. D., & Angelopoulos, N. V. (2008). Internet addiction among Greek adolescent students. Cyberpsychology & Behavior, 11(6), 653–657. doi:10.1089/cpb.2008.0088.CrossRef

Siomos, K., Paradeisioti, A., Hadjimarcou, M., Mappouras, D. G., Kalakouta, O., Avagianou, P., & Floros, G. (2013). The impact of internet and PC addiction in school performance of Cypriot adolescents. Studies in Health Technology and Informatics, 191, 90–94. doi:10.3233/978-1-61499-282-0-90.PubMed

Strittmatter, E., Kaess, M., Parzer, P., Fischer, G., Carli, V., Hoven, C. W., et al. (2015). Pathological internet use among adolescents: comparing gamers and non-gamers. Psychiatry Research, 228(1), 128–135. doi:10.1016/j.psychres.2015.04.029.CrossRefPubMed

Yang, S. C., & Tung, C. J. (2007). Comparison of internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 79–96. doi:10.1016/j.chb.2004.03.037.CrossRef

Young, K. S. (1998a). Internet addiction: the emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237–244. doi:10.1089/cpb.1998.1.237.CrossRef

Young, K. S. (1998b). Caught in the net. New York: John Wiley.

Zhou, Z., Yuan, G., & Yao, J. (2012). Cognitive Biases toward Internet Game-Related Pictures and Executive Deficits in Individuals with an Internet Game Addiction. PLoS One, 7(11), e48961. doi:10.1371/journal.pone.0048961.CrossRefPubMedPubMedCentral

Title: Psychometric Properties of a German Version of the Young Diagnostic Questionnaire (YDQ) in two Independent Samples of Adolescents
Authors: Lutz Wartberg
Tony Durkee
Levente Kriston
Peter Parzer
Gloria Fischer-Waldschmidt
Franz Resch
Marco Sarchiapone
Camilla Wasserman
Christina W. Hoven
Vladimir Carli
Danuta Wasserman
Rainer Thomasius
Romuald Brunner
Michael Kaess
Publication date: 01-02-2017
Publisher: Springer US
Published in: International Journal of Mental Health and Addiction / Issue 1/2017
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-016-9654-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Psychometric Properties of a German Version of the Young Diagnostic Questionnaire (YDQ) in two Independent Samples of Adolescents

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 1/2017

Portrayal of New Psychoactive Substances in the Hungarian Online Media

The Long Term Effectiveness of Drug Treatment Court on Reducing Recidivism and Predictors of Voluntary Withdrawal

Validity and Reliability of Recovery Assessment Scale for Cantonese Speaking Chinese Consumers with Mental Illness

Can an Accelerated Gambling Simulation Reduce Persistence on a Gambling Task?

Internet Use among University Students in South West Bank: Prevalence, Advantages and Disadvantages, and Association with Psychological Health

Neurofeedback Associated with Neurocognitive-Rehabilitation Training on Children with Attention-Deficit/Hyperactivity Disorder (ADHD)