Quantitative research in linguistics : an introduction
Author(s)
Bibliographic Information
Quantitative research in linguistics : an introduction
（Research methods in linguistics）
Bloomsbury, c2013
2nd ed
- : pbk
- : hb
Available at / 19 libraries
-
Doshisha University Library (Imadegawa)
: pbk801.019||R9584132100988,
: hb801.019||R9584136700799 -
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Note
"First published 2008 by Continuum"--T.p. verso
Bibliography: p. [279]-282
Includes index
Description and Table of Contents
Description
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.
Table of Contents
1. Introduction
2. Quantitative Research: some basic issues
3. Research Design and Sampling
4. Questionnaire Design and Coding
5. A First Glimpse at Data
6. Describing Data Properly: central location and dispersion
7. Analysing Data: a few steps further
8. Testing Hypotheses
9. Analysing Dodgy Data: when things are not quite normal
10. Appendices and Solutions
Bibliography
by "Nielsen BookData"
