Evaluating an Internet Gaming Disorder Scale Using Mokken Scaling Analysis
Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual of Mental Disorders. The present study investigated whether the IGD criteria comprise a unidimensional construct. Data stemmed from a sample...
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Published in: | Frontiers in psychology Vol. 10; p. 911 |
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Abstract | Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual of Mental Disorders. The present study investigated whether the IGD criteria comprise a unidimensional construct. Data stemmed from a sample of Norwegians aged 17.5 years in 2012 and 19.5 years in 2014 (
= 1258). The study used the Mokken scale analysis to investigate whether the score of the different items on the IGD scale measured a single latent variable and if the scale functions differently for males and females. Correlation analysis was conducted between the scores on the IGD scale (count) and the Gaming Addiction Scale for Adolescents (GASA, categorical), both assessed in 2014. Negative binomial regression analyses were applied in order to investigate how different predictors of mental health assessed in 2012 were associated with IGD assessed in 2014. The Mokken scale analysis showed that all item-coefficients of homogeneity exceeded 0.3 when the whole sample completed the scale and when females completed the scale, indicating that the items reflect a single latent variable. In both cases moderate (
> 0.40) unidimensionality was shown. The item measuring "tolerance" did not exceed 0.3 in the scale when completed by males, indicating that only eight out of nine items reflect a single latent variable when applied to males only. The eight-item scale containing males showed weak (
> 0.30) unidimensionality. The correlation analysis showed a positive correlation between the scores on the IGD scale and the GASA (
= 0.71,
< 0.01) when assessed simultaneously and a positive but lower correlation (
= 0.48,
< 0.01) when assessed longitudinally. Results from the negative binomial regression analysis showed that previous video-game addiction, being male, depression, aggression and loneliness were significant predictors of IGD. The associations were small for all independent variables except previous video game addiction and gender where the associations were large. Although the results from the correlation analysis and regression analysis showed predictive validity of the scale, the results from the Mokken analysis suggest that the IGD scale may not be applied as a unidimensional scale when the tolerance item is included. |
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AbstractList | Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual of Mental Disorders. The present study investigated whether the IGD criteria comprise a unidimensional construct. Data stemmed from a sample of Norwegians aged 17.5 years in 2012 and 19.5 years in 2014 (
= 1258). The study used the Mokken scale analysis to investigate whether the score of the different items on the IGD scale measured a single latent variable and if the scale functions differently for males and females. Correlation analysis was conducted between the scores on the IGD scale (count) and the Gaming Addiction Scale for Adolescents (GASA, categorical), both assessed in 2014. Negative binomial regression analyses were applied in order to investigate how different predictors of mental health assessed in 2012 were associated with IGD assessed in 2014. The Mokken scale analysis showed that all item-coefficients of homogeneity exceeded 0.3 when the whole sample completed the scale and when females completed the scale, indicating that the items reflect a single latent variable. In both cases moderate (
> 0.40) unidimensionality was shown. The item measuring "tolerance" did not exceed 0.3 in the scale when completed by males, indicating that only eight out of nine items reflect a single latent variable when applied to males only. The eight-item scale containing males showed weak (
> 0.30) unidimensionality. The correlation analysis showed a positive correlation between the scores on the IGD scale and the GASA (
= 0.71,
< 0.01) when assessed simultaneously and a positive but lower correlation (
= 0.48,
< 0.01) when assessed longitudinally. Results from the negative binomial regression analysis showed that previous video-game addiction, being male, depression, aggression and loneliness were significant predictors of IGD. The associations were small for all independent variables except previous video game addiction and gender where the associations were large. Although the results from the correlation analysis and regression analysis showed predictive validity of the scale, the results from the Mokken analysis suggest that the IGD scale may not be applied as a unidimensional scale when the tolerance item is included. Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual of Mental Disorders. The present study investigated whether the IGD criteria comprise a unidimensional construct. Data stemmed from a sample of Norwegians aged 17.5 years in 2012 and 19.5 years in 2014 (N = 1258). The study used the Mokken scale analysis to investigate whether the score of the different items on the IGD scale measured a single latent variable and if the scale functions differently for males and females. Correlation analysis was conducted between the scores on the IGD scale (count) and the Gaming Addiction Scale for Adolescents (GASA, categorical), both assessed in 2014. Negative binomial regression analyses were applied in order to investigate how different predictors of mental health assessed in 2012 were associated with IGD assessed in 2014. The Mokken scale analysis showed that all item-coefficients of homogeneity exceeded 0.3 when the whole sample completed the scale and when females completed the scale, indicating that the items reflect a single latent variable. In both cases moderate (H > 0.40) unidimensionality was shown. The item measuring “tolerance” did not exceed 0.3 in the scale when completed by males, indicating that only eight out of nine items reflect a single latent variable when applied to males only. The eight-item scale containing males showed weak (H > 0.30) unidimensionality. The correlation analysis showed a positive correlation between the scores on the IGD scale and the GASA (r = 0.71, p < 0.01) when assessed simultaneously and a positive but lower correlation (r = 0.48, p < 0.01) when assessed longitudinally. Results from the negative binomial regression analysis showed that previous video-game addiction, being male, depression, aggression and loneliness were significant predictors of IGD. The associations were small for all independent variables except previous video game addiction and gender where the associations were large. Although the results from the correlation analysis and regression analysis showed predictive validity of the scale, the results from the Mokken analysis suggest that the IGD scale may not be applied as a unidimensional scale when the tolerance item is included. Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual of Mental Disorders. The present study investigated whether the IGD criteria comprise a unidimensional construct. Data stemmed from a sample of Norwegians aged 17.5 years in 2012 and 19.5 years in 2014 ( N = 1258). The study used the Mokken scale analysis to investigate whether the score of the different items on the IGD scale measured a single latent variable and if the scale functions differently for males and females. Correlation analysis was conducted between the scores on the IGD scale (count) and the Gaming Addiction Scale for Adolescents (GASA, categorical), both assessed in 2014. Negative binomial regression analyses were applied in order to investigate how different predictors of mental health assessed in 2012 were associated with IGD assessed in 2014. The Mokken scale analysis showed that all item-coefficients of homogeneity exceeded 0.3 when the whole sample completed the scale and when females completed the scale, indicating that the items reflect a single latent variable. In both cases moderate ( H > 0.40) unidimensionality was shown. The item measuring “tolerance” did not exceed 0.3 in the scale when completed by males, indicating that only eight out of nine items reflect a single latent variable when applied to males only. The eight-item scale containing males showed weak ( H > 0.30) unidimensionality. The correlation analysis showed a positive correlation between the scores on the IGD scale and the GASA ( r = 0.71, p < 0.01) when assessed simultaneously and a positive but lower correlation ( r = 0.48, p < 0.01) when assessed longitudinally. Results from the negative binomial regression analysis showed that previous video-game addiction, being male, depression, aggression and loneliness were significant predictors of IGD. The associations were small for all independent variables except previous video game addiction and gender where the associations were large. Although the results from the correlation analysis and regression analysis showed predictive validity of the scale, the results from the Mokken analysis suggest that the IGD scale may not be applied as a unidimensional scale when the tolerance item is included. |
Author | King, Daniel L Pallesen, Ståle Krossbakken, Elfrid Finserås, Turi Reiten Mentzoni, Rune Aune Molde, Helge |
AuthorAffiliation | 1 Department of Clinical Psychology, University of Bergen , Bergen , Norway 3 School of Psychology, The University of Adelaide , Adelaide, SA , Australia 2 Department of Psychosocial Science, University of Bergen , Bergen , Norway |
AuthorAffiliation_xml | – name: 2 Department of Psychosocial Science, University of Bergen , Bergen , Norway – name: 1 Department of Clinical Psychology, University of Bergen , Bergen , Norway – name: 3 School of Psychology, The University of Adelaide , Adelaide, SA , Australia |
Author_xml | – sequence: 1 givenname: Turi Reiten surname: Finserås fullname: Finserås, Turi Reiten organization: Department of Clinical Psychology, University of Bergen, Bergen, Norway – sequence: 2 givenname: Ståle surname: Pallesen fullname: Pallesen, Ståle organization: Department of Psychosocial Science, University of Bergen, Bergen, Norway – sequence: 3 givenname: Rune Aune surname: Mentzoni fullname: Mentzoni, Rune Aune organization: Department of Psychosocial Science, University of Bergen, Bergen, Norway – sequence: 4 givenname: Elfrid surname: Krossbakken fullname: Krossbakken, Elfrid organization: Department of Psychosocial Science, University of Bergen, Bergen, Norway – sequence: 5 givenname: Daniel L surname: King fullname: King, Daniel L organization: School of Psychology, The University of Adelaide, Adelaide, SA, Australia – sequence: 6 givenname: Helge surname: Molde fullname: Molde, Helge organization: Department of Clinical Psychology, University of Bergen, Bergen, Norway |
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CitedBy_id | crossref_primary_10_3390_ijerph192215058 crossref_primary_10_3389_fpsyt_2022_791254 crossref_primary_10_1016_j_cpr_2023_102256 crossref_primary_10_17240_aibuefd_2023___923848 crossref_primary_10_3390_jcm11041018 crossref_primary_10_1177_10731911211055435 crossref_primary_10_4081_jphr_2021_2434 |
Cites_doi | 10.1016/S0022-3999(01)00296-3 10.1016/j.jpsychires.2011.09.005 10.1089/cyber.2010.0260 10.2466/pr0.1993.72.3c.1379 10.1007/s00787-018-1108-1 10.1177/1073191106287666 10.1089/cyber.2015.0605 10.1111/j.1600-0447.1983.tb09716.x 10.1080/15213260802669458 10.1111/add.12457 10.18637/jss.v020.i11 10.1111/add.12849 10.1016/j.cpr.2013.01.002 10.1556/2006.6.2017.072 10.18637/jss.v048.i05 10.1037/pas0000062 10.1111/add.13057 10.1089/cyber.2014.0509 10.1176/appi.ajp.2016.16020224 10.1186/1471-2288-12-74 10.1037/adb0000160 10.1016/j.jpsychires.2014.02.008 10.1371/journal.pone.0110137 10.1089/cyber.2016.0286 10.1016/j.addbeh.2015.11.005 10.1023/A:1016905407491 10.1089/cyber.2012.0034 10.1007/s11469-015-9592-8 10.1023/A:1024232915870 10.1080/15213269.2012.756374 10.1038/s41562-018-0506-1 10.1007/s11162 10.1111/pcn.12532 10.1159/000322525 10.1016/j.chb.2015.11.050 10.1016/j.chb.2010.07.015 |
ContentType | Journal Article |
Copyright | Copyright © 2019 Finserås, Pallesen, Mentzoni, Krossbakken, King and Molde. 2019 Finserås, Pallesen, Mentzoni, Krossbakken, King and Molde |
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Keywords | Internet Gaming Disorder Mokken scale analysis psychometric properties pathological video gaming mental health |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology Reviewed by: Michelle Colder Carras, Radboud University, Netherlands; Cesar Merino-Soto, Universidad de San Martín de Porres, Peru Edited by: Vasileios Stavropoulos, Cairnmillar Institute, Australia |
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Snippet | Internet Gaming Disorder (IGD) was recently included as a condition for further study in the fifth and latest version of the Diagnostic and Statistical Manual... |
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StartPage | 911 |
SubjectTerms | Internet Gaming Disorder mental health Mokken scale analysis pathological video gaming Psychology psychometric properties |
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Title | Evaluating an Internet Gaming Disorder Scale Using Mokken Scaling Analysis |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31080426 https://search.proquest.com/docview/2231963382 https://pubmed.ncbi.nlm.nih.gov/PMC6497737 https://doaj.org/article/66df7c34413c4530819daa6917d6c190 |
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