Literature DB >> 27096439

Psychometric Testing of the Personal Internet Gaming Disorder Evaluation-9: A New Measure Designed to Assess Internet Gaming Disorder.

Benjamin T D Pearcy1, Lynne D Roberts1, Peter M McEvoy1.   

Abstract

Internet Gaming Disorder (IGD) is in the early stages of recognition as a disorder, following its inclusion in the Diagnostic and Statistical Manual for Mental Disorders (DSM-5; American Psychiatric Association(1)) as a condition for further study. Existing measures of Internet gaming pathology are limited in their ability to measure IGD as defined in the DSM-5. We present the initial development and validation of a new measure derived from the proposed DSM-5 criteria for IGD, the Personal Internet Gaming Disorder Evaluation-9 (PIE-9). A student sample (n = 119) and a community sample (n = 285), sourced through a variety of online gaming forums, completed an online survey comprising the new measure, existing measures of IGD, and a range of health and demographic questions. Exploratory and confirmatory factor analysis supported a single factor structure for the 9-item PIE-9. Internal consistency (α = 0.89) and test-retest reliability (intraclass correlation [ICC] = 0.77) were high. Convergent validity was demonstrated with similar gaming addiction measures. Predictive validity was established through significant differences in distress and disability between those who met the criteria for IGD and those who did not. The distress and disability associated with meeting IGD criteria fell within the range of other common DSM-5 disorders. Preliminary testing of the PIE-9 has demonstrated that it is an efficient and straightforward measure for use in further research of IGD, and as a potential screening measure in clinical practice.

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Year:  2016        PMID: 27096439     DOI: 10.1089/cyber.2015.0534

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  4 in total

Review 1.  Internet gaming disorder: Trends in prevalence 1998-2016.

Authors:  Wendy Feng; Danielle E Ramo; Steven R Chan; James A Bourgeois
Journal:  Addict Behav       Date:  2017-06-16       Impact factor: 3.913

2.  Development and Validation of a Risk Assessment Tool for Gaming Disorder in China: The Gaming Hazard Assessment Scale.

Authors:  Ying Tang; Zhenjiang Liao; Shucai Huang; Jingyue Hao; Qiuping Huang; Xinxin Chen; Shuhong Lin; YiFan Li; Jing Qi; Hongxian Shen
Journal:  Front Public Health       Date:  2022-04-11

3.  Face validity evaluation of screening tools for gaming disorder: Scope, language, and overpathologizing issues.

Authors:  Daniel L King; Joel Billieux; Natacha Carragher; Paul H Delfabbro
Journal:  J Behav Addict       Date:  2020-04-01       Impact factor: 6.756

4.  Development and validation of a nine-item short screening test for ICD-11 gaming disorder (GAMES test) and estimation of the prevalence in the general young population.

Authors:  Susumu Higuchi; Yoneatsu Osaki; Aya Kinjo; Satoko Mihara; Masaki Maezono; Takashi Kitayuguchi; Takanobu Matsuzaki; Hideki Nakayama; Hans-Jürgen Rumpf; John B Saunders
Journal:  J Behav Addict       Date:  2021-07-06       Impact factor: 6.756

  4 in total

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