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
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
The Second Language Acquisition Research series presents and explores issues bearing directly on theory construction and/or research methods in the study of second language acquisition. Its titles (both authored and edited volumes) provide thorough and timely overviews of high-interest topics, and include key discussions of existing research findings and their implications. A special emphasis of the series is reflected in the monographs dealing with specific data collection methods or instruments. Each of these monographs addresses the kinds of research questions for which the method/instrument is best suited, offers extended description of its use, and outlines the problems associated with its use. The volumes in this series will be invaluable to students and scholars alike, and perfect for use in courses on research methodology and in individual research.