Improving and extending quantitative reasoning in second language research

John M. Norris and Steven J. Ross are the authors of Improving and extending quantitative reasoning in second language research, published by Wiley.

• Table of ContentsForewordIntroductionChapter 1: Improving second language quantitative research (John M. Norris, Steven J. Ross, Rob Schoonen)Section I: Current challenges in measurement, design, and analysis for L2 quantitative research Chapter 2: Methodological synthesis in L2 quantitative research: A review of reviews and a case study of exploratory factor analysis (Luke Plonsky & Talip Gonulal)Chapter 3: Improving the validity of quantitative measures in second language research (James Purpura, James Dean Brown, Rob Schoonen)Chapter 4: Design issues and inference in L2 experimental research (Thom Hudson & Lorena Llosa)Chapter 5: Statistical significance testing in second language research: Basic problems and suggestions for reform (John Norris)Chapter 6: Reporting and interpreting quantitative research findings: What gets reported and recommendations for the field (Jenifer Larson-Hall & Luke Plonsky)Section II: Alternatives, advances, and the future of L2 quantitative researchChapter 7: Structural equation modeling: Possibilities for language learning researchers (Gregory R. Hancock & Rob Schoonen)Chapter 8: The utility and application of mixed effects models in second language research (Jared A. Linck & Ian Cunnings)Chapter 9: Bayesian approaches to imputation, hypothesis testing, and parameter estimation (Steven J. Ross & Beth Mackey)Chapter 10: Statistical measures for usage-based linguistics (Stefan Gries & Nick Ellis)