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 = .85. Correlations between attentional, evaluative biases, and urge to be online for SNS Internet users To conduct correlational analysis, the following calculations were made: (a) for the gaze dwell time, the mean

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. Cohen , J. , Cohen , P. , West , S. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation

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Journal of Behavioral Addictions
Authors: Jon Arcelus, Walter Pierre Bouman, Bethany Alice Jones, Christina Richards, Susana Jimenez-Murcia, and Mark D. Griffiths

based on the scores of the (IGDS9-SF), only the gamers group was selected ( n  = 154). Spearman’s correlation analysis showed a positive correlation, which was statistically significant, between problematic gaming and age ( r  = −.27, p  < .001), global

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emotional problems associated with alexithymia and is only coincidental with problem gambling. One final finding of interest is the correlational analysis that examined which aspects of alexithymia are related to both between- and within-session loss

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's scores on an established social media engagement questionnaire (SMES), and two ‘addictive’ severity scales (BSNAS, SMAQ), mean scores and variability are presented in Table 1 . A Pearson's correlation analysis showed that there were moderate

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and credit, whereas the ratios are generally lower for behaviors relating to duration and intensity. A correlation analysis showed that the ratios observed for 2013 were highly correlated with those obtained for the same items administered in the 2007

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Journal of Behavioral Addictions
Authors: Victoria Manning, Nicki. A. Dowling, Stuart Lee, Simone Rodda, Joshua Benjamin Bernard Garfield, Rachel Volberg, Jayashri Kulkarni, and Dan Ian Lubman

. , & Hammond , S. ( 2017 ). Investigating the multivariate relationship between impulsivity and psychopathy using canonical correlation analysis . Personality and Individual Differences, 111, 187 – 192 . doi: 10.1016/j.paid.2017.02.025 10.1016/j

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.02. Concurrent validity was tested by correlational analysis, whereas Cronbach’s αs were computed to ensure the internal consistency of the (sub)scale. Since different types of gamers are expected to exhibit different configurations of IGD symptoms

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increased FPN/CON connections in males with versus without IGD reflects a male-IGD-specific “fuzzy boundary” between these two brain networks that may relate to relevant features of IGD in males. Correlation analysis suggested a positive association between

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, descriptive statistics regarding general smartphone use were calculated. Then, correlational analysis was conducted. Finally, to delineate the factors underlying problematic smartphone use, multiple regression analysis was performed using problematic

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