
Quantitative Research in Linguistics
An Introduction
Sebastian M. Rasinger(Author)
Bloomsbury Academic (Publisher)
3rd Edition
Will be published approx. on 18. February 2027
Book
Paperback/Softback
304 pages
978-1-350-49648-4 (ISBN)
Description
Quantitative Research in Linguistics presents a comprehensive introduction to analysing quantitative linguistic data.
The author 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. Now fully updated and revised, the third edition includes more complex examples in the form of case studies allowing for a more in-depth exploration of the concepts and tools discussed and a glossary of key terms and concepts. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools.
The book focuses on introducing readers to the fundamentals of quantitative research and systematic approaches to data analysis and covers:
- using statistics
- variables
- reliability of data
- describing data
- analysing data
- testing hypotheses
- dealing with problematic data.
Using robust pedagogic scaffolding, the tasks and discussion questions increase in complexity and nuance as each chapter unfolds. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding, as well as suggestions for further reading to enable students to explore the topics in more depth. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included.
Presenting a down-to-earth and readable introduction to quantitative research, this book is an essential how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.
The author 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. Now fully updated and revised, the third edition includes more complex examples in the form of case studies allowing for a more in-depth exploration of the concepts and tools discussed and a glossary of key terms and concepts. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools.
The book focuses on introducing readers to the fundamentals of quantitative research and systematic approaches to data analysis and covers:
- using statistics
- variables
- reliability of data
- describing data
- analysing data
- testing hypotheses
- dealing with problematic data.
Using robust pedagogic scaffolding, the tasks and discussion questions increase in complexity and nuance as each chapter unfolds. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding, as well as suggestions for further reading to enable students to explore the topics in more depth. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included.
Presenting a down-to-earth and readable introduction to quantitative research, this book is an essential how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.
More details
Series
Edition
3rd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Bloomsbury Publishing PLC
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 16 mm
Weight
454 gr
ISBN-13
978-1-350-49648-4 (9781350496484)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Sebastian Rasinger is Associate Professor of Applied Linguistics at Anglia Ruskin University, Cambridge, UK.
Content
1. Introduction
2. Quantitative Research: Some Basic Issues
3. Get the Structure Right: Research Design and Sampling
4. Questionnaire Design and Coding
5. A First Glimpse at Data
6. Beyond Counting: Describing Data Properly
7. Analysing Data: A Few Steps Further
8. Is A Really Better than B? Testing Hypotheses
9. Analysing Non-Parametric Data
10. Appendices and Solutions
Bibliography
2. Quantitative Research: Some Basic Issues
3. Get the Structure Right: Research Design and Sampling
4. Questionnaire Design and Coding
5. A First Glimpse at Data
6. Beyond Counting: Describing Data Properly
7. Analysing Data: A Few Steps Further
8. Is A Really Better than B? Testing Hypotheses
9. Analysing Non-Parametric Data
10. Appendices and Solutions
Bibliography