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. 2018 Jun 22;8:9503. doi: 10.1038/s41598-018-27898-w

Table 1.

Fixed effects for RT model.

Fixed effect Estimate (ms) Standard error (ms) t-value
Intercept 722.0 18.6 38.9
Phoneme (plosive) −53.5 16.2 −3.3
Experiment (2) −3.8 22.7 −0.2
Cue (non-predictive) 141.9 19.9 7.5
Pronunciation (wrong) 15.8 9.3 1.7
Phoneme (plosive):Experiment (2) −3.7 5.2 −0.7
Phoneme (plosive):Cue (non-predictive) 1.9 22.5 0.1
Phoneme (plosive):Pronunciation (wrong) 4.5 4.9 0.9
Experiment (2):Cue (predictive) −3.1 13.5 −0.2
Experiment (2):Pronunciation (wrong) 5.0 11.3 0.4
Cue (non-predictive):Pronunciation (wrong) 19.4 6.5 3.0

Highlighted rows indicate significant (|t| > 2) and marginally significant predictors in final model. The predictors, all bivariate categorical variables were coded using treatment coding, making plosive, predictive, correct, Experiment 1 trials as the reference level. Final model specification: RT ~ Phoneme *(Experiment + Cue + Pronunciation) + Experiment* (Cue + Pronunciation) + Cue * Pronunciation + (1 + Phoneme + Experiment + Cue + Pronunciation + Cue * Pronunciation | subject) + (1 | Cue image).