Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods. Provides balanced treatment of the practical aspects of handling quantitative linguistic data Includes sample datasets contributed by researchers working in a variety of sub-disciplines of linguistics Uses R, the statistical software package most commonly used by linguists, to discover patterns in quantitative data and to test linguistic hypotheses Includes student-friendly end-of-chapter assignments and is accompanied by online resources at available in the 'Downloads' section, below
Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.
Quantitative Research Methods for Linguistics provides an accessible introduction to research methods for undergraduates undertaking research for the first time. Employing a task-based approach, the authors demonstrate key methods through a series of worked examples, allowing students to take a learn-by-doing approach and making quantitative methods less daunting for the novice researcher. Key features include: Chapters framed around real research questions, walking the student step-by-step through the various methods; Guidance on how to design your own research project; Basic questions and answers that every new researcher needs to know; A comprehensive glossary that makes the most technical of terms clear to readers; Coverage of different statistical packages including R and SPSS. Quantitative Research Methods for Linguistics is essential reading for all students undertaking degrees in linguistics and English language studies.
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.
Advancing Quantitative Methods in Second Language Research is the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation, Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies. For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html
Since the 1960s quantitative linguistics has undergone a great development marked especially by attempts to work systematically with language phenomena on all language levels. Besides traditional areas where significant results were already achieved before the 60s (phonology, graphemics and lexicology), quantitative linguistics has now also penetrated into morphology, syntax, stylistics, history and typology of languages and, more recently, into semantics. This book gives a comprehensive account of the various developments and applications in quantitative linguistics.After an overview of methods used in quantitative linguistics, it discusses the main areas: lexical statistics, grammatical statistics and semantics statistics, with reference to a great number of studies of different languages and language families. Chapter 4 deals with other domains (phonology, graphemics, stylistics, typology, development of languages, word-formation), Chapter 6 deals with various applications, and Chapter 7 discusses the relationship between quantitative linguistics and the computer. The volume is completed by an extensive list of references and indices of names and of subjects.
With increasing pressure on academics and graduate students to publish in peer reviewed journals, this book offers a much-needed guide to writing about and publishing quantitative research in applied linguistics. With annotated examples and useful resources, this book will be indispensable to graduate students and seasoned researchers alike.
Over the past two decades, statistical and other quantitative concepts, models and methods have been increasingly gaining importance and interest in all areas of linguistics and text analysis, as well as in a number of neighboring disciplines and areas of application. The term "quantitative linguistics" comprises all scientific and technical approaches which use such terms and methods in the analysis of or work with language(s), texts and other related subjects. The 71 articles in this handbook, written by internationally-recognized experts, offer a broad, up-to-date overview of the scientific-theoretical principles, the history, the diversity of the subject areas studied, the methods and models used, the results obtained thus far and their applications. The articles are divided up into thirteen chapters: the first chapter includes contributions on the basic principles and the history of the field, nine additional chapters are dedicated to individual descriptions of the levels of linguistic research (from phonology to pragmatics) as well as typological, diachronic and geolinguistic questions. The next two chapters include a description of important models, hypotheses and principles; selected areas of application; and references to neighboring disciplines. The last portion of the handbook is an informative contribution, with information about publication forums, bibliographies, major projects, Internet links, etc. This handbook is useful not only for researchers, teachers and students of all branches of linguistics and the philologies, but also for scientists in neighboring fields, whose theoretical and empirical research touches on linguistic questions (for instance, psychology and sociology), or for those who want to make use of the proven methods or results from quantitative linguistics in their own research.
In line with the increasing use of empirical methods in Cognitive Linguistics, the current volume explores the uses of quantitative, in particular corpus-driven, techniques for the study of meaning. It shows how these techniques contribute to the core theoretical issues of Cognitive Semantics as well as how they inform semantic analysis. The research presented in the volume constitutes an important step towards an Empirical Cognitive Semantics.
Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is illustrated with exemplary articles presenting linguistic data.
