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Quantitative Methods for Second Language Research introduces the approaches to and techniques for quantitative data analysis in second language research (SLR), with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach, emphasizing the understanding of statistical theory and its application to research problems and pays less attention to the mathematical side of statistical analysis. A range of common statistical analysis techniques that can be employed in SLR, presented and illustrated through applications of the IBM Statistical Package for Social Sciences (SPSS) program, are presented and discussed. These include tools for descriptive analysis (e.g. means and percentages) as well as inferential analysis (e.g. correlational analysis, t-tests, and analysis of variance (ANOVA)). It provides conceptual explanations of quantitative methods through the use of examples, cases and published studies in the field. Additionally, a companion website to the book hosts review exercises and answer keys for each chapter, SPSS files, and a manual. Practical and lucid, this book is the ideal resource for data analysis for graduate students and researchers in applied linguistics.
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
Specifically targeted towards the needs of a second language research audience, Second Language Research: Methodology and Design addresses basic issues related to research design, providing step-by-step instructions for how to carry out studies. This up-to-date text includes chapters that cover identifying research problems and questions; selecting elicitation measures; dealing with ethical issues related to data gathering; validity and reliability in research; research in second and foreign language classroom contexts; data description and coding; and data analysis. Also included is a chapter on the much needed and rarely addressed topic of writing up SLA research, giving concrete suggestions about preparing for publication. Principles of both qualitative and quantitative research are discussed in the context of design issues. Throughout the book, examples from applied linguistics, second language acquisition, and TESOL are provided. Helpful discussion and data-based skill-building exercises at the end of each chapter promote better understanding of the principles discussed. A glossary outlines the key terms in second language research. Second Language Research: Methodology and Design is an ideal textbook for introductory and advanced classes in second language research methods, as well as classes in related areas, for example, TESOL research methods.
Quantitative Methods in Linguistics offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods. Provides balanced treatment of the practical aspects of handling quantitative linguistic data Includes sample datasets contributed by researchers working in a variety of sub-disciplines of linguistics Uses R, the statistical software package most commonly used by linguists, to discover patterns in quantitative data and to test linguistic hypotheses Includes student-friendly end-of-chapter assignments and is accompanied by online resources at available in the 'Downloads' section, below
This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The book, also demonstrating the benefits to the L2 field of this type of statistical work, is a resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics who are interested in quantitative data analysis.
Quantitative Methods for Second Language Research introduces approaches to and techniques for quantitative data analysis in second language research, with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach by emphasizing the understanding of statistical theory and its application to research problems while paying less attention to the mathematical side of statistical analysis. The text discusses a range of common statistical analysis techniques, presented and illustrated through applications of the IBM Statistical Package for Social Sciences (SPSS) program. These include tools for descriptive analysis (e.g., means and percentages) as well as inferential analysis (e.g., correlational analysis, t-tests, and analysis of variance [ANOVA]). The text provides conceptual explanations of quantitative methods through the use of examples, cases, and published studies in the field. In addition, a companion website to the book hosts slides, review exercises, and answer keys for each chapter as well as SPSS files. Practical and lucid, this book is the ideal resource for data analysis for graduate students and researchers in applied linguistics.
Research Methods in Second Language Acquisition “With its cornucopia of information, both thorough and practical, this book is a must for our methodology shelves. Its study questions and project suggestions will be a boon for many research methods courses.” Robert M. DeKeysevr, University of Maryland “This guide to collecting, coding and analyzing second language acquisition data will be an essential reference for novice and experienced researchers alike.” Peter Robinson, Aoyama Gakuin University “Comprehensive and technically up-to-date, yet accessible and cogent! This remarkable textbook is sure to become a premier choice for the research training of many future SLA generations.” Lourdes Ortega, University of Hawaii “Alison Mackey and Susan Gass’ valuable new book offers hands-on methodological guidance from established experts on all kinds of second language research.” Michael H. Long, University of Maryland Research Methods in Second Language Acquisition: A Practical Guide is an informative guide to research design and methodology in this growing and vibrant field. Utilizing research methods and tools from varied fields of study including education, linguistics, psychology, and sociology, this collection offers complete coverage of the techniques of second language acquisition research. This guide covers a variety of topics, such as second language writing and reading, meta-analyses, research replication, qualitative data collection and analysis, and more. Each chapter of this volume offers background, step-by-step guidance, and relevant studies to create comprehensive coverage of each method. This carefully selected and edited volume will be a useful text for graduate students and scholars looking to keep pace with the latest research projects and methodologies in second language acquisition.
With increasing pressure on academics and graduate students to publish in peer reviewed journals, this book offers a much-needed guide to writing about and publishing quantitative research in applied linguistics. With annotated examples and useful resources, this book will be indispensable to graduate students and seasoned researchers alike.
Presents a comprehensive introduction to analysing quantitative linguistic data. Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools. The book introduces: -using statistics -variables -reliability of data -describing data -analysing data -testing hypotheses -dealing with problematic data. Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource. Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.
Quantitative Methods for Second Language Research introduces approaches to and techniques for quantitative data analysis in second language research, with a primary focus on second language learning and assessment research. It takes a conceptual, problem-solving approach by emphasizing the understanding of statistical theory and its application to research problems while paying less attention to the mathematical side of statistical analysis. The text discusses a range of common statistical analysis techniques, presented and illustrated through applications of the IBM Statistical Package for Social Sciences (SPSS) program. These include tools for descriptive analysis (e.g., means and percentages) as well as inferential analysis (e.g., correlational analysis, t-tests, and analysis of variance [ANOVA]). The text provides conceptual explanations of quantitative methods through the use of examples, cases, and published studies in the field. In addition, a companion website to the book hosts slides, review exercises, and answer keys for each chapter as well as SPSS files. Practical and lucid, this book is the ideal resource for data analysis for graduate students and researchers in applied linguistics.