Advancing Quantitative Methods In Second Language Research by Luke PlonskyAdvancing Quantitative Methods In Second Language Research by Luke Plonsky

Advancing Quantitative Methods In Second Language Research

byLuke PlonskyEditorLuke Plonsky

Paperback | July 7, 2015

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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 Researchenhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies.

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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 inAnnual Review of Applied Linguistics,Applied Linguistics,Language Learning,Modern Language Jour...
Title:Advancing Quantitative Methods In Second Language ResearchFormat:PaperbackDimensions:378 pages, 9 × 5.9 × 0.9 inPublished:July 7, 2015Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0415718341

ISBN - 13:9780415718349

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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,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 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