Table 2.
Term | Estimate | SE | df | t | p | |
---|---|---|---|---|---|---|
β1 | Intercept (Mispronounced) | 0.085 | 0.007 | 16.00 | 11.72 | <.001 |
β2 | Linear | 0.046 | 0.013 | 16.01 | 3.58 | .003 |
β3 | Quadratic | –0.028 | 0.004 | 16.00 | –7.28 | <.001 |
β4 | Type-Intact | –0.015 | 0.005 | 16.00 | –2.72 | .015 |
β5 | Type-Noise | 0.024 | 0.005 | 16.00 | 4.79 | <.001 |
β6 | Linear:Type-Intact | –0.016 | 0.007 | 16.00 | –2.14 | .048 |
β7 | Linear:Type-Noise | 0.004 | 0.011 | 15.99 | 0.34 | .737 |
β8 | Quadratic:Type-Intact | 0.029 | 0.006 | 16.00 | 4.71 | <.001 |
β9 | Quadratic:Type-Noise | 0.005 | 0.005 | 15.99 | 1.09 | .290 |
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).