Publication | Open Access
Linear models and linear mixed effects models in R with linguistic applications
479
Citations
15
References
2013
Year
Speech CorpusPsycholinguisticsLinguistic ApplicationsLinear ModelsCommunicationConceptual IntroductionPhonologyLanguage LearningSpeech RecognitionApplied LinguisticsNatural Language ProcessingComputational LinguisticsPhoneticsLanguage AcquisitionLanguage StudiesStatisticsInteractional LinguisticsHealth SciencesMixed EffectsR Programming EnvironmentDistributional SemanticsSpeech CommunicationSpeech TechnologySpeech AnalysisVoiceLanguage CorpusSpeech ProcessingSpeech PerceptionLinguistics
This text is a conceptual introduction to mixed effects modeling with linguistic applications, using the R programming environment. The reader is introduced to linear modeling and assumptions, as well as to mixed effects/multilevel modeling, including a discussion of random intercepts, random slopes and likelihood ratio tests. The example used throughout the text focuses on the phonetic analysis of voice pitch data.
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