Psychometric Properties of the Persian Version of the Gaming Motivation Scale
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective Gaming motivations are a central aspect of playing video games, and their importance to understanding both healthy and problematic gaming behavior has been increasingly elucidated. In this study, we aimed to translate the 18-item Gaming Motivation Scale (GAMS-18) to Persian and validate it in a population of Persian speaking gamers, specifically for the assessment of online gaming.Methods After translation from English to Persian, content validity of the questionnaire was assessed by a panel of experts and test–retest reliability was calculated in a sample of 70 students. Data from an online survey of 791 Iranian online gamers were used for the assessment of construct validity using confirmatory factor analysis.Results The item content validity index and the scale content validity index for clarity and relevance ranged from 0.80 to 1.00. Internal consistency reliability of the GAMS-18 was 0.90 and the test–retest reliability was 0.89. The test–retest reliability of the GAMS-18 was 0.89, and the internal consistency was 0.90. The GAMS factors had acceptable correlation with other motivational scale such as Player Experience of Need Satisfaction. Incorporating the proposed additional error paths improved the model fit to an acceptable level.Conclusion The Persian version of the GAMS can assess digital gaming behavior based on the six self-determination theory motivation types, and measures different aspects of motivation that other instruments. It is also demonstrated to have good reliability and validity and could be used in research on the motivations of online gamers in Persian-speaking populations.
Abstract
Objective Gaming motivations are a central aspect of playing video games, and their importance to understanding both healthy and problematic gaming behavior has been increasingly elucidated. In this study, we aimed to translate the 18-item Gaming Motivation Scale (GAMS-18) to Persian and validate it in a population of Persian speaking gamers, specifically for the assessment of online gaming.Methods After translation from English to Persian, content validity of the questionnaire was assessed by a panel of experts and test–retest reliability was calculated in a sample of 70 students. Data from an online survey of 791 Iranian online gamers were used for the assessment of construct validity using confirmatory factor analysis.Results The item content validity index and the scale content validity index for clarity and relevance ranged from 0.80 to 1.00. Internal consistency reliability of the GAMS-18 was 0.90 and the test–retest reliability was 0.89. The test–retest reliability of the GAMS-18 was 0.89, and the internal consistency was 0.90. The GAMS factors had acceptable correlation with other motivational scale such as Player Experience of Need Satisfaction. Incorporating the proposed additional error paths improved the model fit to an acceptable level.Conclusion The Persian version of the GAMS can assess digital gaming behavior based on the six self-determination theory motivation types, and measures different aspects of motivation that other instruments. It is also demonstrated to have good reliability and validity and could be used in research on the motivations of online gamers in Persian-speaking populations.
참고문헌 (24)
- "Online gaming - Statistics & Facts. Statista" (2022)[URL]
- Demetrovics Z, "Why do you play? The development of the Motives for Online Gaming Questionnaire (MOGQ)", Behav Res Methods, 43, pp.814~825 (2011)
- "Study: 1.2 billion people are playing games worldwide; 700M of them are online" (2013)[URL]
- "Newzoo Global Games Market Report 2017, light version"[URL]
- yStats, "Global online gaming market snapshot 2014" (2014), yStats. com GmbH & Co. KG
- Erkan Baysak, "How Game Addiction Rates and Related Psychosocial Risk Factors Change Within 2-Years: A Follow-Up Study", PSYCHIATRY INVESTIGATION, 15(10), pp.984~990 (2018), 대한신경정신의학회[DOI]
- Shadloo B, "Inclusion of gaming disorder in the diagnostic classifications and promotion of public health response", J Behav Addict, 6, pp.310~312 (2017)
- Shadloo B, "Ambiguities in existing Iranian national policies addressing excessive gaming", J Behav Addict, 7, pp.540~542 (2018)
- "Landscape report 2017: knowledge directs differences"[URL]
- Ko CH, "Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents", J Nerv Ment Dis, 193, pp.273~277 (2005)
- Yee N, "Online gaming motivations scale: development and validation", CHI ’12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.2803~2806 (2012), Association for Computing Machinery
- Rigby S, "The player experience of need satisfaction (PENS)model", pp.1~22 (2007), Immersyve Inc.
- Lafrenière MAK, "Development and validation of the Gaming Motivation Scale(GAMS)", Pers Individ Differ, 53, pp.827~831 (2012)
- Deci EL, "Handbook of theories of social psychology", pp.416~436 (2012), SAGE Publications Ltd
- Deci EL, "The Oxford handbook of human motivation", pp.85~108 (2012), Oxford University Press
- Hainey T, "The differences in motivations of online game players and offline game players : a combined analysis of three studies at higher education level", Comput Educ, 57, pp.2197~2211 (2011)
- Wu AM, "Motives for online gaming questionnaire : its psychometric properties and correlation with Internet gaming disorder symptoms among Chinese people", J Behav Addict, 6, pp.11~20 (2017)
- World Health Organization, "Process of translation and adaptation of instruments", World Health Organization, ~ (2014)
- Ayre C, "Critical values for Lawshe’s content validity ratio : revisiting the original methods of calculation", Meas Eval Couns Dev, 47, pp.79~86 (2014)
- Rafiemanesh H, "Online gaming and internet gaming disorder in Iran:patterns, motivations, and correlates", Curr Psychol (2022)[DOI]
- Király O, "Ten-Item Internet Gaming Disorder Test(IGDT-10) : measurement invariance and cross-cultural validation across seven language-based samples", Psychol Addict Behav, 33, pp.91~103 (2019)
- Király O, "Validation of the Ten-Item Internet Gaming Disorder Test(IGDT-10)and evaluation of the nine DSM-5 Internet Gaming Disorder criteria", Addict Behav, 64, pp.253~260 (2017)
- Marziyeh Hamzehzadeh, "Psychometric Assessment of the Motives for Online Gaming Questionnaire Among Iranian Gamers", PSYCHIATRY INVESTIGATION, 19(5), pp.333~340 (2022), 대한신경정신의학회[DOI]
- Peracchia S, "Pathologic use of video games and motivation : can the Gaming Motivation Scale(GAMS)predict depression and trait anxiety?", Int J Environ Res Public Health, 16, pp.1008~ (2019)