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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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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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activity and then multiple comparisons between groups used the method of the least significant difference (LSD). Thirdly, using Pearson's correlation analysis to measure the association between physical activity and MPA. Lastly, using Hayes's (2013

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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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, Scharkow, & Quandt, 2013 ; Kim et al., 2016 ; Männikkö, Billieux, & Kääriäinen, 2015 ; Peng & Liu, 2010 ; Rehbein, Psych, Kleimann, Mediasci, & Mößle, 2010 ). The results from the Pearson’s correlation analysis between both self-rated life satisfaction

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. The results of correlation analysis are shown in Table  2 . According to the results, all subscale scores of the adult ADHD symptoms showed significant correlations with IA, childhood ADHD, AUDIT-K scores, depression, and anxiety symptoms. On the other

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. Table  2 presents the results of zero-order correlation analysis between MSPSS, BSMAS, FSFI (at baseline and follow-up), anxiety (at baseline and follow-up), depression (at baseline and follow-up), FSDS-R (at baseline and follow-up), and URCS. The

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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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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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