Journal of Memory and Language· 2017Q1
Balancing Type I error and power in linear mixed models
- 1,997citations
- Q1SCImago
- 2017year
Short summary
Fitting maximal linear mixed-effects models (LMMs) to psycholinguistic data can significantly reduce statistical power without fully controlling Type I error, compared to using model selection criteria.
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Statistics and ProbabilityMathematics