1st Edition

Advancing Quantitative Methods in Second Language Research





ISBN 9780415718349
Published July 7, 2015 by Routledge
358 Pages

USD $67.95

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Book Description

Advancing Quantitative Methods in Second Language Research is 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

 

Table of Contents

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, p values, 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, t tests, and ANOVAs  Geoffrey T. LaFlair, Jesse Egbert, & Luke Plonsky  5. Presenting quantitative data visually  Thom Hudson  6. Meta-analysis  Luke Plonsky & Frederick L. Oswald  Part III: Advanced and Multivariate Methods  7. Multiple Regression  Eun Hee Jeon  8. Mixed effects modeling and longitudinal data analysis  Ian Cunnings & Ian Finlayson  9. Principal components analysis & factor analysis  Shawn Loewen & Talip Gonulal  10. Structural equation modeling  Rob Schoonen  11. Cluster analysis  Douglas Biber & Shelley Staples  12. Rasch analysis  Ute Knoch & Tim McNamara  13. Discriminant function analysis  John M. Norris  14. Bayesian data analysis  Beth Mackey & Steven Ross

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Author(s)

Biography

Luke Plonsky (PhD, Michigan State University) is a faculty member in the Applied Linguistics program at Northern Arizona University. His interests include SLA and research methods, and his publications in these and other areas have appeared in Annual Review of Applied Linguistics, Applied Linguistics, Language Learning, Modern Language Journal, and Studies in Second Language Acquisition, among other major journals and outlets. He is also Associated Editor of Studies in Second Language Acquisition and Managing Editor of Foreign Language Annals.