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) Fig. 6. Step 5: the results of correlation analysis between BOLD signal change derived from the ROIs and the results of the Sexual Arousability Inventory. Pictograms illustrate the type of anticipated reward (woman

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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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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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.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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. Statistical analysis A cross-sectional correlational analysis was conducted. All analyses were conducted in SPSS 22. First, Student’s t was used to measure the differences between gamblers and non-gamblers in pathological gambling, emotion

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). Standardized root mean squared residual (SRMR), was also computed, with its value <0.08 representing an acceptable fit. Descriptive statistics, internal consistency (≥0.70 representing a satisfactory reliability; Cortina, 1993 ), and correlation analysis were

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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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. , & 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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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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. 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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