Advancing Quantitative Methods in Second Language Research [Hardcover]

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

Advancing Quantitative Methods in Second Language Research is the first hands-on gulCA