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E-grāmata: Advancing Quantitative Methods in Second Language Research

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Advancing Quantitative Methods in Second Language Research is the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation,Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies.

For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html

List of Illustrations
xi
Acknowledgments xvii
List of Contributors
xix
PART I Introduction
1(20)
1 Introduction
3(6)
Luke Plonsky
2 Why Bother Learning Advanced Quantitative Methods in L2 Research?
9(12)
James Dean Brown
PART II Enhancing Existing Quantitative Methods
21(108)
3 Statistical Power, p Values, Descriptive Statistics, and Effect Sizes: A "Back-to-Basics" Approach to Advancing Quantitative Methods in L2 Research
23(23)
Luke Plonsky
4 A Practical Guide to Bootstrapping Descriptive Statistics, Correlations, t Tests, and ANOVAs
46(32)
Geoffrey T. LaFlair
Jesse Egbert
Luke Plonsky
5 Presenting Quantitative Data Visually
78(28)
Thom Hudson
6 Meta-analyzing Second Language Research
106(23)
Luke Plonsky
Frederick L. Oswald
PART III Advanced and Multivariate Methods
129(218)
7 Multiple Regression
131(28)
Eun Hee Jeon
8 Mixed Effects Modeling and Longitudinal Data Analysis
159(23)
Ian Cunnings
Ian Finlayson
9 Exploratory Factor Analysis and Principal Components Analysis
182(31)
Shawn Loewen
Talip Gonulal
10 Structural Equation Modeling in L2 Research
213(30)
Rob Schoonen
11 Cluster Analysis
243(32)
Shelley Staples
Douglas Biber
12 Rasch Analysis
275(30)
Ute Knoch
Tim McNamara
13 Discriminant Analysis
305(24)
John M. Norris
14 Bayesian Informative Hypothesis Testing
329(18)
Beth Mackey
Steven J. Ross
Index 347
Luke Plonsky (PhD, Michigan State University) is a faculty member in the Applied Linguistics program at Northern Arizona University. His interests include SLA and research methods, and his publications in these and other areas have appeared in Annual Review of Applied Linguistics, Applied Linguistics, Language Learning, Modern Language Journal, and Studies in Second Language Acquisition, among other major journals and outlets. He is also Associated Editor of Studies in Second Language Acquisition and Managing Editor of Foreign Language Annals.