Mixedeffects models
Related Topics
Experts

1

2

3

4

5
Publications (6)

1Surprising Parser Actions and Reading DifficultyBeyond this baseline, we fitted ten other linear mixedeffects models. To the inventory of wordlevel predictors, each of...

2Complexity Metrics in an Incremental RightCorner Parserdone with a likelihood ratio test, producing (for mixedeffects models) a χ21 value and corresponding probability that the...

3Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measurenote that regression analysis (or the more general mixed effects models) is typically used to study the relationship between...

4Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rateswith both fixed and random effects, are known as mixedeffects models, and are becoming a standard method for analyzing...

5Predicting Success in Dialogue2007  David Reitter,Johanna D. Moorey, from shortly after 2We use Generalized Linear Mixed Effects models fitted using GlmmPQL in the MASS R library. 812 ...

6Cognitively Plausible Models of Human Language Processing2010  Frank Kellerperforming such tests do not currently exist; linear mixed effects models (Baayen et al., 2008) provide a way of dealing with...