Methods of linguistic data collection are among the most central aspects in empirical linguistics. While written questionnaires have only played a minor role in the field of social dialectology, the study of regional and social variation, the last decade has seen a methodological revival. This book is the first monograph-length account on written questionnaires in more than 60 years. It reconnects - for the newcomer and the more seasoned empirical linguist alike - the older questionnaire tradition, last given serious treatment in the 1950s, with the more recent instantiations, reincarnations and new developments in an up-to-date, near-comprehensive account. A disciplinary history of the method sets the scene for a discussion of essential theoretical aspects in dialectology and sociolinguistics. The book is rounded off by a step-by-step practical guide - from study idea to data analysis and statistics - that includes hands-on sections on Excel and the statistical suite R for the novice.This book has a companion website: http://dx.doi.org/10.1075/impact.40.website
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 245 mm
Breite: 174 mm
Gewicht
ISBN-13
978-90-272-5831-1 (9789027258311)
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 Klassifikation
Autor*in
University of Gothenburg & University of British Columbia
1. List of common abbreviations; 2. List of tables; 3. List of figures; 4. List of illustrations; 5. Acknowledgements; 6. Abstract; 7. Author's preface; 8. 1. Written Questionnaires in the wider linguistic context; 9. Part I. History & theory; 10. 2. A history of written questionnaires in social dialectology; 11. 3. A comparison of data collection methodologies; 12. 4. Types of traditional WQ variables; 13. 5. World Englishes, multilingualism and written questionnaires; 14. 6. WQ data and linguistic theory; 15. Part II. Practice; 16. 7. Questionnaire design and data collection; 17. 8. Working with WQ data; 18. 9. Statistical testing with R; 19. 10. Epilogue; 20. Reference; 21. Index