Summary of the Confirmatory Factor Analysis Results on the IGD-20 Test Items.

<p>Summary of the Confirmatory Factor Analysis Results on the IGD-20 Test Items.</p

Cut-Off Points for the IGD-20 Test based on the Fifth class (high addiction risk group) derived from the Latent Profile Analysis.

<p>Cut-Off Points for the IGD-20 Test based on the Fifth class (high addiction risk group) derived from the Latent Profile Analysis.</p

Results Obtained from the Latent Profile Analysis.

<p>Results Obtained from the Latent Profile Analysis.</p

The Five Classes Obtained from the Latent Profile Analysis.

<p>The Five Classes Obtained from the Latent Profile Analysis.</p

Socio-Demographic Characteristics of the Sample.

<p>Socio-Demographic Characteristics of the Sample.</p

Overall correlation between the six IGD-20 Test factors and its corresponding IGD nine criteria.

<p>** Correlation is significant at the.01 level (2-tailed).</p><p>*** For a more comprehensive review on how the 9 IGD criteria overlap with each one of the six factors outlined see Griffiths, M. D., King, D., Demetrovics, Z. (2014). DSM-5 internet gaming disorder needs a unified approach to assessment. Neuropsychiatry, 4(1), 1–4.</p><p>Overall correlation between the six IGD-20 Test factors and its corresponding IGD nine criteria.</p

Confirmatory Factor Analysis of the 20 items of the IGD-20 Test.

<p>Empty cells represents the factor loadings that are fixed to 0; all other factor loadings are significant at least at p<.001. Cronbach's alpha of the total 20 items of the Internet Gaming Disorder Test is.88.</p><p>Confirmatory Factor Analysis of the 20 items of the IGD-20 Test.</p

Comparison of the five latent classes: Testing Equality for Latent Class Predictors.

<p>*Means having different subscript letters are different on at least p<.05 level according to the pairwise Wald <i>χ²</i> test of mean equality for latent class predictors in mixture modeling (<a href="http://bit.ly/NNCxju" target="_blank">http://bit.ly/NNCxju</a>).</p><p>Comparison of the five latent classes: Testing Equality for Latent Class Predictors.</p

Model Comparison: “Components” Model (Griffiths, 2005) vs. Internet Gaming Disorder DSM-5 nine criteria (APA, 2013).

<p>Model Comparison: “Components” Model (Griffiths, 2005) vs. Internet Gaming Disorder DSM-5 nine criteria (APA, 2013).</p

Supplementary_Document_D_ – Supplemental material for Problematic gaming behaviour and health-related outcomes: A systematic review and meta-analysis

<p>Supplemental material, Supplementary_Document_D_ for Problematic gaming behaviour and health-related outcomes: A systematic review and meta-analysis by Niko Männikkö, Heidi Ruotsalainen, Jouko Miettunen, Halley M. Pontes and Maria Kääriäinen in Journal of Health Psychology</p