Analyzing Linguistic Data: A Practical Introduction to Statistics using R

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Cambridge University Press, Mar 6, 2008 - Language Arts & Disciplines
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Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
  

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Contents

Preface x
1
Graphical data exploration
20
Probability distributions
44
Basic statistical methods
68
ofcovariance
108
Clustering and classification
118
Regression modeling
165
Mixed models
241
References 342
347
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Page 342 - Morphological Influences on the Recognition of Monosyllabic Monomorphemic Words. Journal of Memory and Language, 53:496512,2006.

About the author (2008)

R. H. Baayen is Professor of Quantitative Linguistics at Radboud University of Nijmegen and the Max Planck Institute for Psycholinguistics, Nijmegen.

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