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. 2017 May 2;7:1333. doi: 10.1038/s41598-017-01419-7

Table 3.

Hierarchical regressions predicting the score on IAT in the IGD, AUD, and HC groups.

Model DV R 2 F P B P
1 0.058 5.099 0.027
F4-C4 gamma coherence 0.241 0.012
2 0.118 3.318 0.013
F4-C4 gamma coherence 0.231 0.025
 Age −0.283 0.017
 Education −0.141 0.127
 IQ 0.097 0.380
3 0.077 2.267 0.054
F4-C4 gamma coherence 0.221 0.029
 Age −0.310 0.014
 Education −0.075 0.448
 IQ 0.193 0.127
 BDI-II 0.248 0.301
 BAI −0.140 0.495
 BIS-11 0.181 0.226

Hierarchical regression models predicting the score on IAT were conducted for all participants in this study. Fisher’s Z-transformed scores were used for the EEG data. 2000 sample bootstrapping was applied with regression analyses, and the significance level was set at 0.050. IAT = Young’s Internet Addiction Test; IGD = Internet gaming disorder; AUD = alcohol use disorder; HC = healthy control; F3-C3 = left hemispheric frontocontral, IQ = intelligence quotient; BDI-II = Beck Depression Inventory-II; BAI = Beck Anxiety Inventory; and BIS-11 = Barratt Impulsivity Scale-11; EEG = electroencephalography.