Analyzing Linguistic Data A Practical Introduction to Statistics Using R

Analyzing Linguistic Data: A Practical Introduction to Statistics Using R by R. H. Baayen, published by Cambridge University Press in 2008, is a comprehensive textbook designed for linguists and psycholinguists. This edition spans 353 pages and is presented in English. The book offers a clear introduction to the statistical analysis of language, specifically tailored for readers with a non-mathematical background, and utilizes ‘R’, a leading computational statistics program.
Readers will find a step-by-step guide through various real data sets, enabling them to analyze acoustic data, construct grammatical trees, and quantify register variation in corpus linguistics. The book emphasizes the importance of data visualization in both initial exploration and model evaluation. With over 40 exercises accompanied by model answers, this resource serves as a practical tool for linguists looking to enhance their skills in working with and presenting quantitative data.
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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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