Time Series Analysis of Discourse

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A01=Dennis Tay
AR Model
ARMA Model
Author_Dennis Tay
Category=CFF
Category=CFG
Category=PBT
CDA Practitioner
Consecutive Lectures
Contemporary Societies
Corpus Assisted Discourse Studies
corpus linguistics methods
critical discourse research
Dennis Tay
discourse analysis
Discourse Phenomena
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
linguistic data modeling
MA Model
MA Process
metaphor studies
MIP
Multivariate TSA
Object Relations Therapy
PACF
Partial Autocorrelation
Psychotherapy Talk
quantitative discourse analysis
quantitative methods in discourse studies
Random Walk
Random Walk Model
Random Walk Processes
Real Observed Data
Residual Series
Seasonal ARIMA
Seasonal Time Series Model
Shapiro Wilk Statistics
sociolinguistic variation
statistical language analysis
Time Series Analysis
Time Series Model
time-based discourse
variationist sociolinguistics
Vice Versa

Product details

  • ISBN 9781138584631
  • Weight: 400g
  • Dimensions: 138 x 216mm
  • Publication Date: 08 Nov 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Dennis Tay is an Associate Professor at the Department of English, The Hong Kong Polytechnic University. His research interests include cognitive linguistics, discourse analysis, mental healthcare communication, and the statistical modeling of discourse.

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