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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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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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. , & 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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) 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: Álvaro Sicilia, Manuel Alcaraz-Ibáñez, María-Jesús Lirola, Rafael Burgueño, and Anthony Maher

past studies between self-determined forms of motivation and EA. Indeed, the results of the correlation analysis in this study show that although self-determined forms of motivation (i.e., intrinsic motivation and integrated and identified regulations

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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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). 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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. 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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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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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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