Development and Verification of an Internet Game Literacy Scale
DC Field | Value | Language |
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dc.contributor.author | Chung, U. | - |
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Jin, J. | - |
dc.contributor.author | Han, D.H. | - |
dc.date.accessioned | 2021-09-16T06:40:27Z | - |
dc.date.available | 2021-09-16T06:40:27Z | - |
dc.date.issued | 2021-09-06 | - |
dc.identifier.issn | 1011-8934 | - |
dc.identifier.issn | 1598-6357 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/49232 | - |
dc.description.abstract | Background: Education on internet games for parents and internet game literacy are needed to prevent problematic internet game playing in Korea. We created an 18-item Internet Game Literacy Scale (IGLS). It is a valuable tool for assessing the positive and negative aspects of internet game play. We aimed to determine the validity of the IGLS and the cut-off for the tendency for internet gameplay. Methods: An online research company gathered data from 300 participants. Factor analysis, including Cronbach's a and consistency coefficient, exploratory factor analysis, and confirmatory factor analysis were conducted to verify the 18 items of the IGLS. Additionally, a K-means cluster analysis was performed to determine the cut-off values for positive and negative IGLS scores. Results: The 18 items of the IGLS were proven to be reliable, as evidenced by a high Cronbach's alpha (α = 0.892). The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.903, and Bartlett's test of sphericity was good (x2 = 1,623.314, P < 0.001). All 18 items were segregated into two factors, with nine items each. The eigenvalue of all 18 items was significant at > 0.4. In the analysis of the validity of the 18-item IGLS with confirmatory factor analysis (CFA) (maximum likelihood estimation, with an oblique method), the fit indices of the standard three-factor model reached acceptable standards. The cut-off point of the total score between the low positive and average positive groups was 23, and the cut-off point of the total score between the average positive and high positive groups was 30. The cut-off point of the total score between the low negative and the average negative groups was 24. The cut-off point of the total score between the average negative group and the high negative group was 32. Conclusion: The study assessed the reliability and validity of the IGLS and suggested a cut-off for low, average, and high Internet game literacy degree with 300 Korean adults aged 21-49 years. The current results suggest that the IGLS has good internal consistency and a proper cut-off for positive and negative internet game literacy degrees. © 2021 The Korean Academy of Medical Sciences. All Rights Reserved. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Korean Academy of Medical Science | - |
dc.title | Development and Verification of an Internet Game Literacy Scale | - |
dc.type | Article | - |
dc.identifier.doi | 10.3346/jkms.2021.36.e216 | - |
dc.identifier.bibliographicCitation | Journal of Korean Medical Science, v.36, no.35, pp 1 - 11 | - |
dc.identifier.kciid | ART002752956 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000694750800006 | - |
dc.identifier.scopusid | 2-s2.0-85113307094 | - |
dc.citation.endPage | 11 | - |
dc.citation.number | 35 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | Journal of Korean Medical Science | - |
dc.citation.volume | 36 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Confirmatory Factor Analysis | - |
dc.subject.keywordAuthor | Exploratory Factor Analysis | - |
dc.subject.keywordAuthor | Internet Game Literacy Scales | - |
dc.subject.keywordAuthor | K-Means Cluster Analysis | - |
dc.subject.keywordPlus | CONFIRMATORY FACTOR-ANALYSIS | - |
dc.subject.keywordPlus | OF-FIT INDEXES | - |
dc.subject.keywordPlus | ADDICTION | - |
dc.subject.keywordPlus | PREVENTION | - |
dc.subject.keywordPlus | PARENTS | - |
dc.relation.journalResearchArea | General & Internal Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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