Table 3 Hierarchical regressions predicting the score on IAT in the IGD, AUD, and HC groups.

From: Neural connectivity in Internet gaming disorder and alcohol use disorder: A resting-state EEG coherence study

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

  1. 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.
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