Rethinking Reduction by Walter de Gruyter

Author:Walter de Gruyter
Language: eng
Format: epub
Publisher: Walter de Gruyter
Published: 2018-02-15T00:00:00+00:00

5.5.2Statistical analyses

We analyzed the continuous dependent variables with linear mixed effects modeling, and the Boolean dependent variables with generalized linear mixed effects modeling with the logit link function, as implemented in the statistical package R (R Core team, 2014). We tested for random intercepts for speaker, preceding word, and following word. We did not include random slopes because preliminary testing suggested that models including them did not converge or seemed to overfit the data.

Our final models, reported below, only include statistically significant predictors. Fixed predictors were considered significant if their absolute t-values or z-values were greater than 1.96 (which approximates an alpha level of 0.05). Random intercepts were considered significant if the model with the random intercept outperformed the model without that random intercept as indicated by likelihood ratio tests (again we adopted an alpha level of 0.05). For continuous dependent variables, the final models are only based on those data points that differed less than 2.5 standard deviations from the values predicted by the model.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.