Table 2
Model effects for the generalised estimating equations models for repeated measures and multinomial distribution with the four qualities as dependent categorical variables and the acoustical conditions as predictors. Two different models were created for each quality incorporating categories based on the profile pattern and the maximum magnitude respectivelly.
Criterion | Depend. variable | Predictor | Wald Chi-Square | df | Sig. | |
---|---|---|---|---|---|---|
Pattern | Brightness | F0 | 23.6 | 1 | .000 | |
Spect. shape×Inh. type | 6.0 | 1 | .014 | |||
Roughness | F0×Spect. shape | 4.8 | 1 | .028 | ||
Mass | F0 | 4.4 | 1 | .036 | ||
F0×Inharm. type | 4.0 | 1 | .045 | |||
Tension | F0 | 24.9 | 1 | .000 | ||
F0×Inharm. type | 8.1 | 1 | .004 | |||
Inharm. type | 5.3 | 1 | .022 | |||
Magnitude | Brightness | – | ||||
Roughness | Spect. shape | 4.2 | 1 | .040 | ||
F0×Spect. shape | 4.1 | 1 | .042 | |||
Mass | F0 | 6.7 | 1 | .010 | ||
Inharm. type | 4.7 | 1 | .030 | |||
Tension | Spectral shape | 7.3 | 1 | .007 |
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