24.1403, Books: Statistics for Linguistics with R: Gries
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LINGUIST List: Vol-24-1403. Mon Mar 25 2013. ISSN: 1069 - 4875.
Subject: 24.1403, Books: Statistics for Linguistics with R: Gries
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Date: Mon, 25 Mar 2013 11:07:56
From: Linda Steglich [linda.steglich at degruyter.com]
Subject: Statistics for Linguistics with R: Gries
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Title: Statistics for Linguistics with R
Subtitle: A Practical Introduction
Series Title: Mouton Textbook
Publication Year: 2013
Publisher: De Gruyter Mouton
http://www.degruyter.com/mouton
Book URL: http://www.degruyter.com/view/product/203826?format=B
Author: Stefan Th. Gries
Hardback: ISBN: 9783110307474 Pages: 359 Price: Europe EURO 350.00
Paperback: ISBN: 9783110307283 Pages: 359 Price: Europe EURO 34.95
Abstract:
Please Note: This is a new edition of a previously posted book.
This book is the revised and extended second edition of Statistics for
Linguistics with R. The volume 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.
Just like the first edition, it is aimed at students, faculty, and researchers
with little or no statistical background in statistics or the open source
programming language R. It avoids mathematical jargon and discusses the logic
and structure of quantitative studies and introduces descriptive statistics as
well as a range of monofactorial statistical tests for frequencies,
distributions, means, dispersions, and correlations. The comprehensive
revision includes new small sections on programming topics that facilitate
statistical analysis, the addition of a variety of statistical functions
readers can apply to their own data, a revision of overview sections on
statistical tests and regression modeling, a complete rewrite of the chapter
on multifactorial approaches, which now contains sections on linear
regression, binary and ordinal logistic regression, multinomial and Poisson
regression, and repeated-measures ANOVA, and a new visual tool to identify the
right statistical test for a given problem and data set. The amount of code
available from the companion website has doubled in size, providing much
supplementary material on statistical tests and advanced plotting.
Linguistic Field(s): Text/Corpus Linguistics
Written In: English (eng)
See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=64852
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