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Table 6 Analysis 2 (German only): final model fixed effects

From: Capturing multiple interaction effects in L1 and L2 object-naming reaction times in healthy bilinguals: a mixed-effects multiple regression analysis

TermsEstimateStd. ErrorT-obt95% CI lower95% CI upperK&R dfp-valueSign.
Intercept1.218E−032.459E−044.9508.269E−041.788E−038.49.77E−04***
Run Num (run 2)9.064E−057.519E−0612.0537.603E−051.055E−041329< 2e−16***
trial_number− 6.108E−071.091E−07− 5.598− 8.212E−07− 3.916E−0713762.61E+08***
GermanRun1%Correct− 3.631−042.836E−04−1.280−9.200E−041.901E−048.10.2359 
wordChoice (others)− 2.916E−051.083E−05− 2.688− 5.039E−05−8.429E−0614340.0073**
Gender−1.068E−044.645E−05− 2.298− 1.970E−04− 1.540E−055.90.0624 
log10WF1.548E−045.266E−052.9385.285E−052.563E−0414020.0034**
firstPhonemeDiff− 5.199E−051.208E−05− 4.281− 7.596E−05− 2.777E−0514101.98E−05***
gender*firstPhonemeDiff4.277E−051.853E−052.3026.279E−067.984E−0513880.0215*
GermanRun1%Correct*log10WF− 1.295E−045.904E−05− 2.193−2.437E−04−1.494E−0513460.0285*
  1. This table provides an overview reflecting the final statistical model used for the within-German reaction time (RT) comparisons. The degrees of freedom to determine the p-values were calculated using Kenward and Roger’s method. The p-value indicates that the gender factor was only marginally significant. However, the 10,000 bootstrap CI that did not include 0 suggests that the gender factor was reliable