UID:
almahu_9949481543702882
Format:
1 online resource (335 p.)
ISBN:
9783110216042
,
9783110238570
Series Statement:
Trends in Linguistics. Studies and Monographs [TiLSM] , 208
Content:
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.
Note:
Frontmatter --
,
Contents --
,
Chapter 1 Some fundamentals of empirical research --
,
Chapter 2 Fundamentals of R --
,
Chapter 3 Descriptive statistics --
,
Chapter 4 Analytical statistics --
,
Chapter 5 Selected multifactorial methods --
,
Chapter 6 Epilog --
,
Backmatter
,
Issued also in print.
,
Mode of access: Internet via World Wide Web.
,
In English.
In:
DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
In:
DGBA Backlist Linguistics and Semiotics 2000-2014 (EN), De Gruyter, 9783110238457
In:
DGBA Linguistics and Semiotics 2000 - 2014, De Gruyter, 9783110636970
In:
De Gruyter Mouton Backlist 2000-2015, De Gruyter, 9783110742961
In:
E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2009, De Gruyter, 9783110219517
In:
E-BOOK PACKAGE ENGLISH LANGUAGES TITLES 2009, De Gruyter, 9783110219524
In:
E-BOOK PACKAGE ENGLISH LINGUISTICS 2009, De Gruyter, 9783110219548
In:
E-BOOK PAKET LINGUISTIK UND LITERATURWISSENSCHAFT 2009, De Gruyter, 9783110219470
Additional Edition:
ISBN 9783110205640
Language:
English
Subjects:
Comparative Studies. Non-European Languages/Literatures
DOI:
10.1515/9783110216042
URL:
https://doi.org/10.1515/9783110216042
URL:
https://www.degruyter.com/isbn/9783110216042
