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List of contents
List of Illustrations
Foreword
Preface
Acknowledgments
1 Quantification
2 Introduction to SPSS
3 Descriptive Statistics
4 Descriptive Statistics in SPSS
5 Correlational Analysis
6 Basics of Inferential Statistics
7 T-Tests
8 Mann-Whitney U and Wilcoxon Signed-Rank Tests
9 One-Way Analysis of Variance (ANOVA)
10 Analysis of Covariance (ANCOVA)
11 Repeated-Measures ANOVA
12 Two-Way Mixed-Design ANOVA
13 Chi-Square Test
14 Multiple Regression
15 Reliability Analysis
Epilogue
References
Key Research Terms in Quantitative Methods
Index
About the author
Carsten Roever is Associate Professor in Applied Linguistics in the School of Languages and Linguistics at the University of Melbourne, Australia.
Aek Phakiti is Associate Professor in TESOL in the Sydney School of Education and Social Work at the University of Sydney, Australia.
Summary
Quantitative Methods for Second Language Research presents accessible yet rigorous coverage of key problems in language assessment and second language learning & assessment research, and of the quantitative research methods that address such issues, for those with little background in statistics, students and beginning researchers in those fields.
Additional text
"This book affords beginning applied linguists an enjoyable journey through all important inferential tests to regression analysis. With their clear style, a wealth of language learning and testing examples, and online SPSS exercises, the authors make it easy to become statistics savvy and learn to love statistics. A fantastic resource!"Lourdes Ortega, Georgetown University, USA
"Quantitative Methods for Second Language Research cuts through the mathematical jargon of statistical analysis and teaches researchers the necessary skills to carry out quantitative studies in applied linguistics. With real case studies and a problem-solving approach, it is a must-have resource for those who are embarking on quantitative research for the first time."Heath Rose, The University of Oxford, UK
"In each of their coverage of twelve commonly used parametric and non-parametric statistical procedures, the authors discuss assumptions, significance testing, effect sizes, and SPSS examples. The straightforward writing style, practical problem-solving approach, and companion website make this book accessible and useful for beginners and veteran quantitative researchers alike."James Dean Brown, The University of Hawai’i at Manoa, USA
