Skip to main content
. 2017 Sep 15;33(4):477–490. doi: 10.1093/arclin/acx082

Table 2.

Prediction of encoding recall and recognition of verbal material by encoding ERP responses

β Std. error t 95% CI p-Value η2
Model 1: Encoding
 Gender −3.50 2.39 −1.46 [−8.29, 1.29] .15 0.04
 Group
  SZ-REL −0.64 2.75 −0.23 [−6.15, 4.87] .82 0.25
  SZ −10.87 2.56 −4.24 [−16.00, −5.74] <.025*
 LPC anterior lateralization 0.56 0.28 2.03 [0.01, 1.12] <.05* 0.07
Model 2: Recall
 Group
  SZ-REL −3.28 1.96 −1.67 [−7.19, 0.64] .09 0.38
  SZ −10.54 1.74 −6.06 [−14.02, −7.06] <.017*
 N1 −1.30 0.41 −3.20 [−2.11, −0.48] <.025* 0.15
LPC parietal 0.34 0.36 0.94 [−0.38, 1.06] .34 0.01
 LPC anterior lateralization 0.39 0.25 1.60 [−0.10, 0.89] .12 0.04
 N1 × Group
  SZ-REL 0.42 0.81 0.52 [−1.19, 2.03] .61 0.14
  SZ 1.82 0.59 3.06 [0.63, 3.00] <.05*
 LPC parietal × gender 1.05 0.54 1.93 [−0.04, 2.13] .06 0.06
 LPC anterior × gender −0.46 0.30 −1.51 [−1.07, 0.14] .13 0.04
Model 3: Recognition without recall
 N1 1.60 0.56 2.86 [0.48, 2.71] <.05* 0.11
 LPC anterior lateralization −0.75 0.40 −1.87 [−1.54, 0.05] .06 0.05

Note: Three multiple linear regressions modeled the relationship between ERP response and performance in the verbal memory task. Coefficients, standard error, t-values 95% confidence intervals, significance levels, and partial eta-squared are reported. For categorical predictors, partial eta-squared was calculated for the overall variable rather though beta coefficients are reported for the individual dummy codes. Variables are centered so that beta coefficients reflect units from the predictor mean.

*Significant after Holm–Bonferroni correction for multiple comparisons.