{"title":"LoL, Why Do You Even Play? Validating the Motives for Online Gaming Questionnaire in the Context of League of Legends","authors":"Zgjim Memeti, Florian Brühlmann, S. Perrig","doi":"10.1145/3505270.3558350","DOIUrl":null,"url":null,"abstract":"Motives are essential concepts in understanding a player’s experience in video games. We report and describe the analysis of a widely used questionnaire to measure players’ motives in video games, the Motives for Online Gaming Questionnaire (MOGQ). The present research aimed to investigate the psychometric quality of the MOGQ in the context of League of Legends (LoL). The MOGQ is a 27-item self-report scale designed to measure the motives for playing online games. To this end, 256 participants completed an online survey asking about their experiences and motives to play LoL. Results of confirmatory and exploratory factor analyses indicate weaknesses in the original 7-factor model. By removing five conspicuous items from the original 7-factor model, we propose an alternative 22-item version of the MOGQ. Additional confirmatory and exploratory factor analyses results indicate that the 22-item version of the MOGQ is more suitable in the context of LoL than the original 27-item questionnaire. However, further investigation into the quality of this alternative version compared to the original questionnaire is needed.","PeriodicalId":375705,"journal":{"name":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","volume":"296 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3505270.3558350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Motives are essential concepts in understanding a player’s experience in video games. We report and describe the analysis of a widely used questionnaire to measure players’ motives in video games, the Motives for Online Gaming Questionnaire (MOGQ). The present research aimed to investigate the psychometric quality of the MOGQ in the context of League of Legends (LoL). The MOGQ is a 27-item self-report scale designed to measure the motives for playing online games. To this end, 256 participants completed an online survey asking about their experiences and motives to play LoL. Results of confirmatory and exploratory factor analyses indicate weaknesses in the original 7-factor model. By removing five conspicuous items from the original 7-factor model, we propose an alternative 22-item version of the MOGQ. Additional confirmatory and exploratory factor analyses results indicate that the 22-item version of the MOGQ is more suitable in the context of LoL than the original 27-item questionnaire. However, further investigation into the quality of this alternative version compared to the original questionnaire is needed.