Quantitative Research in Linguistics: An Introduction

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Overview

'For the maths-shy linguistics student with no statistics training, this long-needed, reader-friendly book demystifies what quantitative research is and how it's done. Assuming no prior knowledge, students are introduced to various research methods and shown the steps to designing, analysing and interpreting data. Statistical analyses are brilliantly explained and illustrated with examples from published research with which students will already be familiar'.

Quantitative Research in Linguistics introduces: how to use 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, a list of Microsoft Excel commands and standard 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.

About the Author:
Sebastian M. Rasinger is Senior Lecturer in Applied Linguistics and English Language at Anglia Ruskin University, Cambridge, UK

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Product Details

  • ISBN-13: 9780826496034
  • Publisher: Bloomsbury Academic
  • Publication date: 8/14/2008
  • 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)

Meet the Author

Sebastian M. Rasinger is Senior Lecturer in Applied Linguistics and English Language at Anglia Ruskin University, Cambridge, UK.

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Table of Contents

Acknowledgements

1 Introduction 1

2 Quantitative Research: Some Basic Issues 7

3 Research Design and Sampling 35

4 Questionnaire Design and Coding 56

5 A First Glimpse at Data 85

6 Describing Data Properly - Central Location and Dispersion 110

7 Analysing Data - A Few Steps Further 137

8 Testing Hypotheses 175

9 Analysing Dodgy Data: When Things Are Not Quite Normal 195

10 Appendices and Solutions 206

Bibliography 224

Index 227

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