Description
A comprehensive guide to conducting research projects in linguistics, this book provides a complete training in state-of-the-art data collection, processing, and analysis techniques. The book follows the structure of a research project, guiding the reader through the steps involved in collecting and processing data, and providing a solid foundation for linguistic analysis. All major research methods are covered, each by a leading expert. Rather than focusing on narrow specializations, the text fosters interdisciplinarity, with many chapters focusing on shared methods such as sampling, experimental design, transcription and constructing an argument. Highly practical, the book offers helpful tips on how and where to get started, depending on the nature of the research question. The only book that covers the full range of methods used across the field, this student-friendly text is also a helpful reference source for the more experienced researcher and current practitioner.
Provides tips on how and where to get started and includes extensive pointers to more specialized resources
Gives specific instruction on the details and potential problems of collecting, processing and analyzing data
Guides the reader through fundamental statistical concepts, from the basics to some of the most advanced techniques for quantitative analysis
Table of Contents
1. Introduction Devyani Sharma and Robert J. Podesva
Part I. Data Collection:
2. Ethics in linguistic research Penelope Eckert
3. Judgment data Carson Schütze and Jon Sprouse
4. Fieldwork for language description Shobhana Chelliah
5. Population samples Isabelle Buchstaller and Ghada Khattab
6. Surveys and interviews Natalie Schilling
7. Experimental research design Rebekha Abbuhl, Susan Gass and Alison Mackey
8. Experimental paradigms in psycholinguistics Elsi Kaiser
9. Sound recordings: acoustic and articulatory data Robert J. Podesva and Elizabeth Zsiga
10. Ethnography and recording interaction Erez Levon
11. Using historical texts Ans van Kemenade and Bettelou Los
Part II. Data Processing and Statistical Analysis:
12. Transcription Naomi Nagy and Devyani Sharma
13. Creating and using corpora Stefan Th. Gries and John Newman
14. Descriptive statistics Daniel Ezra Johnson
15. Basic significance testing Stefan Th. Gries
16. Multivariate statistics R. Harald Baayen
Part III. Foundations for Linguistic Data Analysis:
17. Acoustic analysis Paul Boersma
18. Constructing and supporting a linguistic analysis John Beavers and Peter Sells
19. Modelling in the language sciences Willem Zuidema and Bart de Boer
20. Variation analysis James Walker
21. Discourse analysis Susan Ehrlich and Tanya Romaniuk
22. Studying language over time Hélène Blondeau.
Robert J. Podesva, Stanford University, California Devyani Sharma, Queen Mary University of London