| Summary: |
"Quantitative methods, though widely used int he language sciences, require careful reasoning if they are to inform accurate interpretations and contribute to the accumulation of knowledge. The array of available methods and analyses is also rapidly expanding, presenting researchers with new possibilities in capturing complex relationships and challenges in interpreting results. This volume brings together experts to address common and emerging challenges and propose solutions in second language quantitative research methods. Chapters in part of the volume highlight basic concerns, illuminated by methodological research syntheses, with how data are collected, analyzed, and reported. They offer concrete recommendations for reviewing quantitative methods, validating research measures, designing causal studies, reforming statistical significance testing, and reporting research findings comprehensively. Chapters in part two of the volume present possible alternatives for making sense of increasingly complex quantitative second language data, introducing the potential contributions of structural equation modeling, mixed effects models, Bayesian hypothesis testing, and usage-based statistical analyses. The combined ideas and recommendations presented in this volume offer a watershed moment for improving and expanding quantitative reasoning in second language research." -- Back cover. |
| Content Note: |
1. Improving second language quantitative research / John M. Norris, Steven J. Ross, and Rob Schoonen 2. Methodological synthesis in quantitative L2 research: a review of reviews and a case study of exploratory factor analysis / Luke Plonsky and Talip Gonulal 3. Improving the validity of quantitative measures in applied linguistics research / James E. Purpura, James Dean Brown, and Rob Schoonen 4. Design issues and inference in experimental L2 research / Thom Hudson and Lorena Llosa 5. Statistical significance testing in second language research: basic problems and suggestions for reform / John M. Norris 6. Reporting and interpreting quantitative research findings: what gets reported and recommendations for the field / Jenifer Larson-Hall and Luke Plonsky 7. Structural equation modeling: possibilities for language learning researchers / Gregory R. Hancock and Rob Schoonen 8. The utility and application of mixed-effects models in second language research / Jared A. Linck and Ian Cunnings 9. Bayesian approaches to imputation, hypothesis testing, and parameter estimation / Steven J. Ross and Beth Mackey 10. Statistical measures for usage-based linguistics / Stefan Th. Gries and Nick C. Ellis. |