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Quantitative Research in Linguistics: An Introduction
     

Quantitative Research in Linguistics: An Introduction

by Sebastian M. Rasinger
 

ISBN-10: 0826496032

ISBN-13: 9780826496034

Pub. Date: 08/14/2008

Publisher: Bloomsbury Academic

This textbook presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an in-depth examination of what quantitative data is, and how it differs from qualitative data, the book examines what the linguist is trying to find out through analysing data, and how quantitative techniques can help him or her to arrive at meaningful and

Overview

This textbook presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an in-depth examination of what quantitative data is, and how it differs from qualitative data, the book examines what the linguist is trying to find out through analysing data, and how quantitative techniques can help him or her to arrive at meaningful and accurate conclusions.
The book introduces: - using statistics, variables, reliability of data, describing data, analysing data, testing hypotheses and 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.

Product Details

ISBN-13:
9780826496034
Publisher:
Bloomsbury Academic
Publication date:
08/14/2008
Series:
Research Methods in Linguistics Series
Edition description:
Older Edition
Pages:
240
Product dimensions:
5.90(w) x 9.10(h) x 0.80(d)

Table of Contents

1. Introduction
2. Quantitative Research: some basic issues3. Research Design and Sampling4. Questionnaire Design and Coding5. A First Glimpse at Data6. Describing Data Properly: central location and dispersion7. Analysing Data: a few steps further8. Testing Hypotheses9. Analysing Dodgy Data: when things are not quite normal10. Appendices and Solutions
Bibliography

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