LINGUIST List 21.2773 Thu Jul 01 2010 Books: Computational Linguistics/Discipline of Linguistics: Gries Editor for this issue: Maria Moreno-Rollins <marialinguistlist.org> Links to the websites of all LINGUIST's supporting publishers are available at the end of this issue. Directory         1.    Julia Ulrich, Statistics for Linguistics with R: Gries Message 1: Statistics for Linguistics with R: Gries Date: 29-Jun-2010 From: Julia Ulrich <julia.ulrichdegruyter.com> Subject: Statistics for Linguistics with R: Gries E-mail this message to a friend Title: Statistics for Linguistics with R Subtitle: A Practical Introduction Series Title: Mouton Textbook Published: 2010 Publisher: De Gruyter Mouton                 http://www.degruyter.com/mouton Book URL: http://www.degruyter.de/cont/fb/sk/detailEn.cfm?id=IS-9783110205657-1 Author: Stefan T Gries Electronic: ISBN: 9783110216042 Pages: 335 Price: ---- Comment: Price upon request. Hardback: ISBN: 9783110205640 Pages: 335 Price: Europe EURO 98.00 Paperback: ISBN: 9783110205657 Pages: 335 Price: Europe EURO 34.95 Abstract: Now available in Paperback! 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. Linguistic Field(s): Computational Linguistics                             Discipline of Linguistics Written In: English (eng ) See this book announcement on our website: http://linguistlist.org/pubs/books/get-book.cfm?BookID=49126 Read more issues|LINGUIST home page|Top of issue -------------------------- Major Supporters -------------------------- Brill http://www.brill.nl Cambridge Scholars Publishing http://www.c-s-p.org Cambridge University Press http://us.cambridge.org Cascadilla Press http://www.cascadilla.com/ Continuum International Publishing Group Ltd http://www.continuumbooks.com De Gruyter Mouton http://www.degruyter.com/mouton Edinburgh University Press http://www.eup.ed.ac.uk/ Elsevier Ltd http://www.elsevier.com/linguistics Emerald Group Publishing Limited http://www.emeraldinsight.com/ European Language Resources Association - ELRA http://www.elra.info. 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