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SAPS scores ( t 86 = −17.50, P < 0.001), impulsivity (DFII, t 86 = −3.27, P = 0.002), depressive mood (PHQ-9, t 83 = −3.86, P = 0.001) and anxiety (GAD-7, t 83 = −2.87, P = 0.009) compared with the TDC group. Partial correlation analysis

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the two smartphone user groups and their experience of accidents were evaluated using the χ 2 test and Mann–Whitney U test. Point-biserial correlation analysis was performed to determine relationships of smartphone addiction with the total number of

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differences between male and female students. Pearson’s correlation analysis was conducted to investigate the possible links between PPPE, its dimensions, and facets of impulsivity. The one-way ANOVA was carried out to find out the differences between the

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partial-correlation analysis, by controlling for age, BDI scores, and the duration of problem gambling. Finally, the association between serum BDNF levels and IGT performance was analyzed using the same method. All data are presented as means ± standard

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

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Journal of Behavioral Addictions
Authors: Lijuan Shi, Yuanyuan Wang, Hui Yu, Amanda Wilson, Stephanie Cook, Zhizhou Duan, Ke Peng, Zhishan Hu, Jianjun Ou, Suqian Duan, Yuan Yang, Jiayu Ge, Hongyan Wang, Li Chen, Kaihong Zhao, and Runsen Chen

.5 Note : IDG = Internet Gaming Disorder. *Different gender using different criteria. Descriptive Statistics Results from the correlation analysis showed that childhood trauma ( M

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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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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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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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