title: Motives for online gaming questionnaire: Its psychometric properties and correlation with Internet gaming disorder symptoms among Chinese people.
abstract: Background and aims Internet gaming disorder (IGD) imposes a potential public health threat worldwide. Gaming motives are potentially salient factors of IGD, but research on Chinese gaming motives is scarce. This study empirically evaluated the psychometric properties of the Chinese version of the Motives for Online Gaming Questionnaire (C-MOGQ), the first inventory that measures seven different gaming motives applicable to all type of online games. We also investigated the associations between various gaming motives and IGD symptoms among Chinese gamers. Methods Three hundred and eighty-three Chinese adult online gamers (Mean age = 23.7 years) voluntarily completed our online, anonymous survey in December 2015. Results The confirmatory factor analysis results supported a bi-factor model with a general factor subsuming all C-MOGQ items (General Motivation) and seven uncorrelated domain-specific factors (Escape, Coping, Fantasy, Skill Development, Recreation, Competition, and Social). High internal consistencies of the overall scale and subscales were observed. The criterion-related validity of this Chinese version was also supported by the positive correlations of C-MOGQ scale scores with psychological need satisfaction and time spent gaming. Furthermore, we found that high General Motivation (coupled with high Escape motive and low Skill Development motive) was associated with more IGD symptoms reported by our Chinese participants. Discussion and conclusions Our findings demonstrated the utility of C-MOGQ in measuring gaming motives of Chinese online gamers, and we recommend the consideration of both its total score and subscale scores in future studies.
authors.affiliation: 1 Department of Psychology, Faculty of Social Sciences, University of Macau , Taipa, Macau, China.
authors.forename: Anise M S
authors.initials: AM
authors.lastname: Wu
authors.affiliation: 2 School of Education, University of Cincinnati , Cincinnati, OH, USA.
authors.forename: Mark H C
authors.initials: MH
authors.lastname: Lai
authors.affiliation: 1 Department of Psychology, Faculty of Social Sciences, University of Macau , Taipa, Macau, China.
authors.forename: Shu
authors.initials: S
authors.lastname: Yu
authors.affiliation: 3 The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong , Hong Kong, China.|4 Shenzhen Research Institute, The Chinese University of Hong Kong , Shenzhen, China.
authors.forename: Joseph T F
authors.initials: JT
authors.lastname: Lau
authors.affiliation: 1 Department of Psychology, Faculty of Social Sciences, University of Macau , Taipa, Macau, China.
authors.forename: Man-Wai
authors.initials: MW
authors.lastname: Lei
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016739:Behavior, Addictive / Q000175:diagnosis / Q000523:psychology; D002681:China; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D020407:Internet; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D009042:Motivation; D011569:Psychiatric Status Rating Scales; D011594:Psychometrics; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires; D018910:Video Games / Q000523:psychology*; D055815:Young Adult
keywords: Internet; addiction; bi-factor modeling; gaming; motives; scale validation