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Time Series Analysis of Discourse : Method and Case Studies.

Author: Dennis Tay
Publisher: Abingdon, Oxon : Routledge, 2019.
Series: Routledge studies in linguistics, 19.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This volume serves as a comprehensive introduction to Time Series Analysis (TSA), used commonly in financial and engineering sciences, to demonstrate its potential to complement qualitative approaches in discourse analysis research. The book begins by discussing how time has previously been conceptualized in the literature, drawing on studies from variationist sociolinguistics, corpus linguistics, and Critical  Read more...
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Details

Genre/Form: Electronic books
Case studies
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dennis Tay
ISBN: 9780429000171 0429000170 9780429505881 0429505884 9780429000164 0429000162 9780429000188 0429000189
OCLC Number: 1062395538
Notes: "Routledge focus"--Cover.
Description: 1 online resource.
Contents: 1. Time in Discourse Analysis2. The Basic Logic and Process of TSA3. Case Study 1: Metahor in Psychotherapy Sessions4. Case Study 2: Non-Informational Language in University Lectures5. Case Study 3: Thematic Keywords in Newspaper Discouse6. Summary, Limitations, and Future Directions
Series Title: Routledge studies in linguistics, 19.

Abstract:

This volume serves as a comprehensive introduction to Time Series Analysis (TSA), used commonly in financial and engineering sciences, to demonstrate its potential to complement qualitative approaches in discourse analysis research. The book begins by discussing how time has previously been conceptualized in the literature, drawing on studies from variationist sociolinguistics, corpus linguistics, and Critical Discourse Analysis. The volume then segues into a discussion of how TSA is applied in other contexts in which observed values are expected to be dependent on earlier values, such as stock markets and sales figures, and introduces a range of discourse-specific contexts to show how the technique might be extended to analyze trends or shed further light on relevant themes in discourse over time. Each successive chapter features a different discourse context as a case study, from psychotherapy sessions, university lectures, and news articles, and looks at how studying different variables over time in each context - metaphors, involvement markers, and keywords, respectively - can contribute to a greater understanding of both present and future discourse activity in these settings. Taken together, this book highlights the value of TSA as a complementary approach to meaning-based analysis in discourse, making this ideal reading for graduate students and scholars in discourse analysis looking to employ quantitative methods in their research practice.

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