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Advancing Quantitative Methods in Second Language Research [Hardcover]

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  • Category: Books (Language Arts & Disciplines)
  • Author:  Plonsky, Luke
  • Author:  Plonsky, Luke
  • ISBN-10:  0415718333
  • ISBN-10:  0415718333
  • ISBN-13:  9780415718332
  • ISBN-13:  9780415718332
  • Publisher:  Routledge
  • Publisher:  Routledge
  • Pages:  378
  • Pages:  378
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Dec-2015
  • Pub Date:  01-Dec-2015
  • SKU:  0415718333-11-MPOD
  • SKU:  0415718333-11-MPOD
  • Item ID: 100712197
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Advancing Quantitative Methods in Second Language Researchis the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation, Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies.

For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html

 

Part I: Introduction  1. Introduction  Luke Plonsky  2. The place and value of advanced quantitative methods in L2 research  JD Brown  Part II: Enhancing Existing Quantitative Methods  3. Statistical power, pvalues, descriptive statistics, and effect sizes: A back-to-basics approach to advancing quantitative methods in L2 research  Luke Plonsky  4. A practical guide to bootstrapping descriptive statistics, correlations, ttests, and ANOVAs  Geoffrey T. LaFlair, Jesse Egbert, & Luke Plonsky  5. Presenting quantitative data visually  Thom Hudl#