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.
Robert J. Podesva is an Assistant Professor in the Department of Linguistics at Stanford University. Devyani Sharma is a Senior Lecturer in Linguistics at Queen Mary, University of London.
1. Introduction Devyani Sharma and Robert J. Podesva; Part I. Data Collection: 2. Ethics in linguistic research Penelope Eckert; 3. Judgment data Carson Schutze 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 Helene Blondeau.