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Statistics for Linguists: An Introduction Using R

Author : Bodo Winter

Publisher : Routledge

Page : 310 pages

File Size : 41,98 MB

Release : 2019-10-30

Category : Education

ISBN : 1351677438

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Book Description

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.



Statistics for Linguistics with R

Author : Stefan Th. Gries

Publisher : Walter de Gruyter

Page : 346 pages

File Size : 33,92 MB

Release : 2009-12-15

Category : Language Arts & Disciplines

ISBN : 3110216043

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Book Description

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.



Statistics in Language Studies

Author : Anthony Woods

Publisher : Cambridge University Press

Page : 340 pages

File Size : 38,32 MB

Release : 1986-08-14

Category : Language Arts & Disciplines

ISBN : 9780521273121

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Book Description

Presents a wide variety of linguistic examples to demonstrate the use of statistics in summarizing data appropriately. The range of techniques introduced will help readers to evaluate and use literature employing statistical analysis, and to apply statistics in their own research.



Statistics in Corpus Linguistics

Author : Vaclav Brezina

Publisher : Cambridge University Press

Page : 317 pages

File Size : 21,66 MB

Release : 2018-09-20

Category : Foreign Language Study

ISBN : 1107125707

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Book Description

A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.



Analyzing Linguistic Data

Author : R. H. Baayen

Publisher : Cambridge University Press

Page : 40 pages

File Size : 46,39 MB

Release : 2008-03-06

Category : Language Arts & Disciplines

ISBN : 1139470736

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Book Description

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.



Statistics in Corpus Linguistics Research

Author : Sean Wallis

Publisher : Routledge

Page : 383 pages

File Size : 24,24 MB

Release : 2020-11-22

Category : Computers

ISBN : 0429958676

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Book Description

Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Accessibly written, this book discusses the ‘why’ behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to: • pose research questions in terms of choice and constraint; • employ confidence intervals correctly (including in graph plots); • select optimal significance tests (and what results mean); • measure the size of the effect of one variable on another; • estimate the similarity of distribution patterns; and • evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.



Statistics in Language Research

Author : Toni Rietveld

Publisher : Walter de Gruyter

Page : 277 pages

File Size : 38,9 MB

Release : 2010-12-14

Category : Language Arts & Disciplines

ISBN : 3110877805

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Book Description

Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given.



Corpus Linguistics and Statistics with R

Author : Guillaume Desagulier

Publisher : Springer

Page : 359 pages

File Size : 48,64 MB

Release : 2017-11-17

Category : Computers

ISBN : 3319645722

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Book Description

This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.



Statistical Methods in Language and Linguistic Research

Author : Pascual Cantos Gómez

Publisher : Equinox Publishing (UK)

Page : 260 pages

File Size : 23,38 MB

Release : 2013-01-01

Category : Language Arts & Disciplines

ISBN : 9781845534325

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Book Description

The linguistic community tend to regard statistical methods, or more generally quantitative techniques, with a certain amount of fear and suspicion. There is a feeling that statistics falls in the province of science and mathematics and such methods may destroy the magic of the literary text. This book seeks to make quantitative methods and statistical techniques less forbidding and show how they can contribute to linguistic analysis and research. It present some mathematical and statistical properties of natural languages and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora. The various issues are illustrated with helpful examples from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.



Statistics for Corpus Linguistics

Author : Michael Oakes

Publisher : Edinburgh University Press

Page : 304 pages

File Size : 39,3 MB

Release : 2019-08-06

Category : Language Arts & Disciplines

ISBN : 1474471382

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Book Description

This book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics. Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, and corpus linguists have used an increasingly wide variety of statistics, drawing on techniques developed in a great many fields. This is the first one-volume introduction to the subject.