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Statistics for Linguistics with R
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Statistics for Linguistics with R : A Practical Introduction

Book Details

Format Hardback or Cased Book
ISBN-10 3110205645
ISBN-13 9783110205640
Publisher De Gruyter
Imprint De Gruyter Mouton
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 11th, 2009
Print length 345 Pages
Weight 660 grams
Ksh 18,000.00
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Offers an introduction to statistics for linguists using the open source software R. This title is aimed at students and professors with little or no statistical background. It covers the structure of quantitative studies, descriptive and analytical statistics, multifactorial approaches and simple statistical graphs.

This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style.

It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail.

The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website.

The volume is aimed at beginners on every level of linguistic education: undergraduate students, graduate students, and instructors/professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative/statistical knowledge whatsoever and, unlike most competing books, begins at step 1 for every method and explains everything explicitly.

"Gries has diligently compiled a work of great use and interest. It is relevant
above all to linguistic students and researchers, and can readily act as a
textbook for taught courses. It should be noted that the book is equally useful
as a reference guide, with the analysis scenarios sufficiently well labelled and
organized so that the reader can dip into it as and when necessary, or as a
complete set of exercises which the reader can work through section by section."
Andrew Caines in: Linguist List 22.412


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