Discourse as Data uses a step-by-step approach to introduce the principal range of methods for discourse analysis, and offers the reader practical opportunities to try out analytic concepts on new data. The contributors come from across the social sciences - each an expert in a different core method in discourse analysis. They take the reader through: methods appropriate for analyzing different types of text; key analytic concepts; specimen analyses of data; Discourse as Data is organized around eight chapters, six of which are related to the domains covered in the Reader: Discourse Theory and Practice, by the same authors. The introduction and conclusion set up common methodological issues in discourse research relevant to all approaches (such as transcription and the application and the critical evaluation of discourse research). The text is a perfect companion to the simultaneously published Reader. Its broad coverage, combined with didactic, practical guidance makes this important reading for anyone wishing to learn more about discourse analysis. Discourse as Data is s course text on the Open University course (D843) Discourse Analysis.
