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Improving and extending quantitative reasoning in second language research

Improving and extending quantitative reasoning in second language research

John M. Norris , Steven J. Ross , Rob Schoonen

ISBN: 978-1-119-14820-3

Jun 2015, Wiley-Blackwell

212 pages

Select type: Paperback

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Currents in Language Learning is a biennial book series published by Wiley and the Language Learning Research Club at the University of Michigan. It provides programmatic state-of-the-art overviews of current issues in the language sciences and their applications in first, second, and bi/multilingual language acquisition in naturalistic and tutored contexts. It brings together disciplinary perspectives from linguistics, psychology, education, anthropology, sociology, cognitive science, and neuroscience.

Table of Contents



Chapter 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 research

Chapter 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)