Identifying Problematic Internet Users: Development and Validation of the Internet Motive Questionnaire for Adolescents (IMQ-A)

Background Internationally, up to 15.1% of intensive Internet use among adolescents is dysfunctional. To provide a basis for early intervention and preventive measures, understanding the motives behind intensive Internet use is important. Objective This study aims to develop a questionnaire, the Internet Motive Questionnaire for Adolescents (IMQ-A), as a theory-based measurement for identifying the underlying motives for high-risk Internet use. More precisely, the aim was to confirm the 4-factor structure (ie, social, enhancement, coping, and conformity motives) as well as its construct and concurrent validity. Another aim was to identify the motivational differences between high-risk and low-risk Internet users. Methods A sample of 101 German adolescents (female: 52.5%, 53/101; age: mean 15.9, SD 1.3 years) was recruited. High-risk users (n=47) and low-risk users (n=54) were identified based on a screening measure for online addiction behavior in children and adolescents (Online-Suchtverhalten-Skala, OSVK-S). Here, “high-risk” Internet use means use that exceeds the level of intensive Internet use (OSVK-S sum score ≥7). Results The confirmatory factor analysis confirmed the IMQ-A’s 4-factor structure. A reliability analysis revealed good internal consistencies of the subscales (.71 up to .86). Moreover, regression analyses confirmed that the enhancement and coping motive groups significantly predicted high-risk Internet consumption and the OSVK-S sum score. A mixed-model ANOVA confirmed that adolescents mainly access the Internet for social motives, followed by enhancement and coping motives, and that high-risk users access the Internet more frequently for coping and enhancement motives than low-risk users. Low-risk users were primarily motivated socially. Conclusions The IMQ-A enables the assessment of motives related to adolescent Internet use and thus the identification of populations at risk. The questionnaire enables the development of preventive measures or early intervention programs, especially dealing with internal motives of Internet consumption.

[1]  Tobias Dörfler,et al.  Tagebuchstudie zu Trinkmotiven, Affektivität und Alkoholkonsum bei Jugendlichen , 2010 .

[2]  M. L. Cooper,et al.  Motivations for alcohol use among adolescents: development and validation of a four-factor model , 1994 .

[3]  R. J. Repique Digital Natives, Digital Immigrants , 2013, Journal of the American Psychiatric Nurses Association.

[4]  Emmanuel Kuntsche,et al.  Why do young people drink? A review of drinking motives. , 2005, Clinical psychology review.

[5]  D. Gentile,et al.  Pathological Video Game Use Among Youths: A Two-Year Longitudinal Study , 2011, Pediatrics.

[6]  Bruce Simons-Morton,et al.  Electronic media communication with friends from 2002 to 2006 and links to face-to-face contacts in adolescence: an HBSC study in 31 European and North American countries and regions , 2009, International Journal of Public Health.

[7]  James B. Hittner,et al.  Relationships among Internet use, personality, and social support , 2002, Comput. Hum. Behav..

[8]  M. L. Cooper,et al.  Motivations for sex and risky sexual behavior among adolescents and young adults: a functional perspective. , 1998, Journal of personality and social psychology.

[9]  P. Peukert,et al.  Messverfahren zur Erfassung der Internetsucht , 2012 .

[10]  Leslie Haddon,et al.  Risks and safety on the internet : the perspective of European children : initial findings from the EU Kids Online survey of 9-16 year olds and their parents , 2010 .

[11]  M. Beutel,et al.  Reliabilit ä t und Validit ä t der Skala zum Computerspielverhalten ( CSV-S ) Reliability and Validity of the Scale for the Assessment of Pathological Computer-Gaming ( CSV-S ) , 2011 .

[12]  Emmanuel Kuntsche,et al.  Replication and Validation of the Drinking Motive Questionnaire Revised (DMQ-R, Cooper, 1994) among Adolescents in Switzerland , 2006, European Addiction Research.

[13]  Markus Bühner Einführung in die Test- und Fragebogenkonstruktion , 2008 .

[14]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[15]  W. M. Cox,et al.  A motivational model of alcohol use. , 1988, Journal of abnormal psychology.

[16]  Cooper Ml,et al.  Motivations for sex and risky sexual behavior among adolescents and young adults: a functional perspective. , 1998 .

[17]  A. Rubin,et al.  Predictors of Internet Use , 2000 .

[18]  Giuseppe Craparo,et al.  Internet Addiction Test (IAT): Which is the Best Factorial Solution? , 2013, Journal of medical Internet research.

[19]  E. S. Conklin Human Motivation , 1932, The Journal of Religion.

[20]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[21]  Martial Van der Linden,et al.  French Validation of the Internet Addiction Test , 2008, Cyberpsychology Behav. Soc. Netw..

[22]  Z. Demetrovics,et al.  Why do you play? The development of the motives for online gaming questionnaire (MOGQ) , 2011, Behavior research methods.

[23]  Eleni C. Tzavela,et al.  1653 – The Developemnt Of Adaptive And Maladaptive Patterns Of Internet Use Among European Adolescents At Risk For Internet Addictive Behaviors: a Grounded Theory Inquiry , 2013, European Psychiatry.

[24]  Mark J. Brosnan,et al.  Comparing First and Second Generation Digital Natives' Internet Use, Internet Anxiety, and Internet Identification , 2013, Cyberpsychology Behav. Soc. Netw..

[25]  Tracy L. Tuten,et al.  Understanding differences in web usage: The role of need for cognition and the five factor model of personality. , 2001 .

[26]  Antonia Barke,et al.  The German Version of the Internet Addiction Test: A Validation Study , 2012, Cyberpsychology Behav. Soc. Netw..

[27]  Klaus Wölfling,et al.  Reliabilität und Validität der Skala zum Computerspielverhalten (CSV-S) , 2010, Psychotherapie, Psychosomatik, medizinische Psychologie.

[28]  Y. Hamburger,et al.  The relationship between extraversion and neuroticism and the different uses of the Internet. , 2000 .

[29]  P. Bria,et al.  Behavioural Addictions in Adolescents and Young Adults: Results from a Prevalence Study , 2011, Journal of Gambling Studies.

[30]  Giuseppe Riva,et al.  The Use of the Internet in Psychological Research: Comparison of Online and Offline Questionnaires , 2003, Cyberpsychology Behav. Soc. Netw..

[31]  Kai W. Müller,et al.  Regular and Problematic Leisure-Time Internet Use in the Community: Results from a German Population-Based Survey , 2011, Cyberpsychology Behav. Soc. Netw..

[32]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..

[33]  Kai W. Müller,et al.  Prevalence of internet addiction in the general population: results from a German population-based survey , 2014, Behav. Inf. Technol..

[34]  D. McQuail McQuail's Mass Communication Theory , 2000 .

[35]  Emmanuel Kuntsche,et al.  Development and Validation of the Drinking Motive Questionnaire Revised Short Form (DMQ–R SF) , 2009, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[36]  K. W. Müller,et al.  Computerspiel- und Internetsucht: Diagnostik, Phänomenologie, Pathogenese und Therapie , 2011 .

[37]  R. Rubin,et al.  Internet and face‐to‐face communication: Not functional alternatives , 1998 .

[38]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[39]  Emmanuel Kuntsche,et al.  How stable is the motive-alcohol use link? A cross-national validation of the Drinking Motives Questionnaire Revised among adolescents from Switzerland, Canada, and the United States. , 2008, Journal of studies on alcohol and drugs.

[40]  G. Arbanas Diagnostic and Statistical Manual of Mental Disorders (DSM-5) , 2015 .

[41]  Melanie D. Hetzel-Riggin,et al.  Predicting Problematic Internet Use in Men and Women: The Contributions of Psychological Distress, Coping Style, and Body Esteem , 2011, Cyberpsychology Behav. Soc. Netw..

[42]  Konstantinos Siomos,et al.  Internet Addiction among Greek Adolescent Students , 2008, Cyberpsychology Behav. Soc. Netw..

[43]  Eu Net Adb The development of adaptive and maladaptive patterns of Internet use among European adolescents at risk for Internet Addictive Behaviours: A Grounded Theory inquiry , 2013 .

[44]  Nazir S. Hawi Internet addiction among adolescents in Lebanon , 2012, Comput. Hum. Behav..

[45]  M. L. Cooper,et al.  Development and validation of a three-dimensional measure of drinking motives. , 1992 .

[46]  S. Stewart,et al.  Development and psychometric evaluation of a three-dimensional Gambling Motives Questionnaire. , 2008, Addiction.

[47]  Meinald T. Thielsch,et al.  Ästhetik von Websites: Wahrnehmung von Ästhetik und deren Beziehung zu Inhalt, usability und Persönlichkeitsmerkmalen , 2008 .

[48]  F. Cao,et al.  Internet addiction among Chinese adolescents: prevalence and psychological features. , 2007, Child: care, health and development.

[49]  Mary McMurran,et al.  The Psychometric Properties of the Internet Addiction Test , 2004, Cyberpsychology Behav. Soc. Netw..

[50]  A Froese-Fretz,et al.  Children and the Internet. , 1998, Journal of the Society of Pediatric Nurses : JSPN.

[51]  Henning Saß,et al.  Diagnostisches und statistisches Manual psychischer Störungen , 2004 .

[52]  G. Yapıcı,et al.  Prevalence and risk factors of Internet addiction in high school students. , 2014, European journal of public health.