Table 3.
Term | Estimate | SE | df | t | p | |
---|---|---|---|---|---|---|
β10 | Intercept (Mispronounced) | 0.072 | 0.007 | 16.09 | 10.03 | <.001 |
β11 | Linear | –0.023 | 0.010 | 15.98 | –2.35 | .032 |
β12 | Quadratic | 0.011 | 0.002 | 15.99 | 4.42 | <.001 |
β13 | Type-Intact | –0.007 | 0.003 | 16.02 | –2.41 | .028 |
β14 | Type-Noise | 0.038 | 0.007 | 16.06 | 5.48 | <.001 |
β15 | Linear:Type-Intact | 0.003 | 0.005 | 15.94 | 0.61 | .554 |
β16 | Linear:Type-Noise | 0.003 | 0.005 | 16.00 | 0.59 | .565 |
β17 | Quadratic:Type-Intact | –0.004 | 0.002 | 15.96 | –1.55 | .140 |
β18 | Quadratic:Type-Noise | –0.011 | 0.002 | 15.93 | –6.00 | <.001 |
Note. SE = standard error of the mean estimation; df = degrees of freedom estimated using the Satterthwaite approximation (implementation by Kuznetsova et al. 2017); Var = Variance; SD = standard deviation; MP = mispronunciation condition (model default).