Advancing Quantitative Methods in Second Language Research

Luke Plonsky

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EFL/ESL Teaching and Learning Statistical Methods and Bayesian Inference Educational Research and Methods

Abstract

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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