Improving and extending quantitative reasoning in second language research
Author(s)
Bibliographic Information
Improving and extending quantitative reasoning in second language research
（Currents in language learning series / series editor Nick C. Ellis）
John Wiley & Sons, c2015
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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
Table of Contents
Foreword
Introduction
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)
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