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. , Cohen , P. , West , S. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral science ( 3rd ed

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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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Journal of Behavioral Addictions
Authors: Ana Estévez, Paula Jáuregui, Inmaculada Sánchez-Marcos, Hibai López-González, and Mark D. Griffiths

), a correlational analysis using Pearson’s r was conducted to understand the relationship between attachment, gambling disorder, problematic Internet use, video game addiction, and alcohol and drug abuse (Table  2 ). Results showed that the addictive

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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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, 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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. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral science ( 3rd ed. ). Mahwah, NJ : Lawrence Erlbaum . Conklin , C. A. , Robbins , N. , Perkins , K. A. , Salkeld , R. P. , & McClernon , F. J

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. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral sciences . Mahwah, NJ : Lawrence Erlbaum Associates . Cohen , S

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according to structures defined in the white matter (WM) Atlas ( Oishi, Faria, Van Zijl, & Mori, 2010 ). Those anatomical regions were used to run correlation analysis with symptoms measured by the Sexual Addiction Screening Test ( Gola et al., 2016 ) and

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Journal of Behavioral Addictions
Authors: Giacomo Grassi, Stefano Pallanti, Lorenzo Righi, Martijn Figee, Mariska Mantione, Damiaan Denys, Daniele Piccagliani, Alessandro Rossi, and Paolo Stratta

control group Correlation analysis Pearson product-moment correlation coefficients between clinical variables (symptom severity, illness duration, presence or history of tics, presence

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