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20 33.1 (10) Total 71 28.6 (8) A correlational analysis

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using the Mann-Whitney U test ( P < 0.05). The dependent variables in each group were compared using the Friedman test and pairwise Wilcoxon comparison (while comparing three dependent groups, P < 0.017). The correlation analysis was performed using

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significant interaction effects. We then performed a two-way ANOVA on the brain activation for each trial type, to find a background × group interaction effect (Supplementary materials, Tables S2 and S3). Moreover, a correlation analysis was

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from .80 (exercise addiction) to .95 (hubristic pride). Table 1. Descriptive statistics, composite reliability, and correlational analysis

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Journal of Behavioral Addictions
Authors: Hyeonseok Jeong, Jin Kyoung Oh, Eun Kyoung Choi, Jooyeon Jamie Im, Sujung Yoon, Helena Knotkova, Marom Bikson, In-Uk Song, Sang Hoon Lee, and Yong-An Chung

correlation analysis between rCMRglu and behavioral characteristics are presented in Supplementary Tables 2 and 3 . At the baseline, rCMRglu in the abovementioned cluster had negative relationships with scores of BAS-fun seeking ( β = −0.54, P = 0.004) and

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suggested that cortical thickness is not affected by ICV ( Buckner et al., 2004 ). To assess the brain-behavior relationships, we performed a correlation analysis for gray matter alterations (GMV and cortical thickness in the OFC and the ACC) and the self

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since 1st bought LB Boys 0.03 −0.13 −0.04 −0.08 Girls −0.17* −0.07 0.08 −0.11 Notes: * P < 0.05 using the Holm-Bonferroni groupwise error adjustment for multiple comparisons. Loot box Behavioural Correlates A partial correlational analysis was conducted

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Journal of Behavioral Addictions
Authors: Francesco Del Prete, Trevor Steward, Juan F. Navas, Fernando Fernández-Aranda, Susana Jiménez-Murcia, Tian P. S. Oei, and José C. Perales

Non-parametric correlational analysis (Spearman’s rho) was used to test GRCS-S convergent validity with SOGS and specificity with MultiCAGE alcohol and drug scores [using the validity sample ( n  = 137), and the whole factor analysis sample ( n  = 500

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

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were summarized with numbers and percentages for categorical variables or mean ± SD and ranges for continuous variables stratified by gender. Pearson correlation analysis was performed to detect linear relationships among study variables stratified by

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