Doing sociolinguistics : a practical guide to data collection and analysis / Miriam Meyerhoff, Erik Schleef and Laurel MacKenzie.
Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics. It offers students the opportunity to engage directly with some of the foundational and more innova...
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Full Text (via ProQuest) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
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Milton Park, Abingdon, Oxon ; New York, NY :
Routledge,
[2015]
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Table of Contents:
- Cover; Title Page; Copyright Page; Table of Contents; List of figures; List of tables; Preface and user guide; Acknowledgements; PART I: Data collection; 1 Finding a topic; Formulating a research topic; Motivating your research topic; Drawing up a research plan; Exercises; References; Further reading; 2 Sample design and the envelope of variation; What exactly am I looking at?; Defining variables and variants; Defining the envelope of variation; How much data do I need?; Exercises; References; Further reading; 3 Ethics and archiving; Informed consent when recording.
- Useful resources you can draw onArchiving and long-term storage; Exercises; References; Further reading; 4 Sampling techniques and gaining access to speakers; Gaining access to speakers and entering the community; Samples and sampling techniques; Exercises; References; Further reading; 5 Interviews as a source of data; Why interview?; What is an interview?; Reading aloud; Exercises; References; Further reading; 6 Naturally occurring, spontaneous speech as a source of data; Recording spontaneous speech; Ethnographic research; Exercises; References; Further reading.
- 7 Corpora as a source of dataWhat is a corpus?; Why would I want to use a corpus?; How do I use a corpus?; Exercises; References; Further reading; 8 Written surveys and questionnaires as a source of data; Questionnaires in sociolinguistics; Limitations and opportunities; Developing questionnaire items; Questionnaire structure; Testing, administering and processing questionnaires; Exercises; References; Further reading; 9 Studying perceptions and attitudes; Direct methods; Indirect methods; Collecting pre-existing speech or text; Exercises; References; Further reading; PART II: Data analysis.
- 10 TranscriptionEnd goals: What are you transcribing for?; Dodging 'blowback': How your transcript will be read; Exercises; References; Further reading; 11 Identifying, coding and summarising your data; The hunting of the variable; Code once and code a lot; Getting summary statistics; Exercises; References; Further reading; 12 Analysing your data; Preliminaries; Terminology; Summarising a categorical dependent variable; Summarising a continuous dependent variable; Statistical significance; Testing a categorical dependent variable for statistical significance.
- Testing a continuous dependent variable for statistical significanceExercises; References; Further reading; 13 Presenting your data; What should a graph do?; Clarity; Honesty; Eliminating redundancy; Now that you know what not to do . . .; Exercises; References; Further reading; 14 Analysing multiple independent variables; Cross-tabulating two independent variables to check for interactions; Multivariate analysis; Exercises; References; Further reading; 15 Mixing qualitative and quantitative analysis; A word on terminology; Combining quantitative and qualitative: Learning by example.