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.
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.
Offers the most up-to-date coverage of research methods and best practices in the study of second language acquisition, edited by two of the leading figures in the field Current Approaches in Second Language Acquisition Research provides an up-to-date overview of both traditional and cutting-edge techniques and methods in the field. Bringing together contributions from an international team of experts, this authoritative volume covers the qualitative, quantitative, survey-based, interdisciplinary, statistical analysis, and data replication methods that students and early-career researchers need to know when developing their projects and experiments in second language acquisition research. Each chapter includes best practices, case studies, and research questions, together with suggested readings which exemplify a wide range of contemporary methodologies. Current Approaches in Second Language Acquisition Research builds on the foundation of Research Methods in Second Language Acquisition, the first volume in the Wiley Blackwell Guides to Research Methods series to cover the field of SLA. Eleven new chapters and four revised chapters address classroom research methods, qualitative approaches to data, collecting introspective second language (L2) data, L2 data on brain and articulatory mechanisms, problematic terminology in the SLA community, and more. Covers theory-based methodologies, synthetic and meta-analytic work, mixed methods, coding, and statistical analysis Describes and evaluates recent methodological advances and experimental approaches in SLA research Includes study questions, links to additional resources, and example study boxes that summarize methodological principles and connect them to real-world research studies Current Approaches in Second Language Acquisition Research is an essential resource for advanced undergraduate and graduate students in SLA and applied linguistics programs, novice researchers studying SLA research methods, and more established scholars looking for a concise and up-to-date overview of SLA methodology.
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
This is the first hands-on methods guide for second-language (L2) reading research. The authors expertly and critically situate L2 reading and literacy as a multivariate, interactive process and define terms, concepts, and research tools in connection with theory and a rich body of past empirical work, with lessons to learn and pitfalls to avoid. They concretely detail how to design empirical studies, collect data, and analyze findings in this important area. Authored by world experts on first-language (L1) and L2 reading, this book provides a comprehensive, critical, theory-driven review of methods in L2 reading research, offering a step-by-step guide from research design to study execution and data analysis. With useful pedagogical features and a unique database of L2 reading studies from around the world over three decades, this will be an invaluable resource to students and researchers of second-language acquisition, applied linguistics, education, and related areas.
The Routledge Handbook of Portuguese Phonology provides an up-to-date description of the Portuguese phonological system, including a thorough account of the fundamental concepts, data, and previous explanations, as well as the status quaestionis, directions for future research, and further reading. Divided into five parts with contributions from leading international scholars and rising stars, the book’s 23 chapters provide a thorough account of the Portuguese sound system and a range of perspectives on Portuguese phonology. This is the most comprehensive volume on Portuguese phonology written in English, and it delves into the most pressing issues and challenges regarding a wide variety of topics, such as segmental and suprasegmental phenomena; aspects concerning the interfaces between phonology and other linguistic domains; and issues on synchronic variation, diachronic change, acquisition, and the teaching of Portuguese speech prosody to non-native learners. This in-depth resource will be invaluable for researchers and advanced students of Portuguese language and linguistics, as well as those interested in phonology and linguistics more broadly.
In our increasingly multilingual modern world, understanding how languages beyond the first are acquired and processed at a brain level is essential to design evidence-based teaching, clinical interventions and language policy. Written by a team of world-leading experts in a wide range of disciplines within cognitive science, this Handbook provides a comprehensive overview of the study of third (and more) language acquisition and processing. It features 30 approachable chapters covering topics such as multilingual language acquisition, education, language maintenance and language loss, multilingual code-switching, ageing in the multilingual brain, and many more. Each chapter provides an accessible overview of the state of the art in its topic, while offering comprehensive access to the specialized literature, through carefully curated citations. It also serves as a methodological resource for researchers in the field, offering chapters on methods such as case studies, corpora, artificial language systems or statistical modelling of multilingual data.
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data: linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects. The last three chapters discuss regression models for clustered data: linear and logistic mixed-effects models as well as model predictions, convergence, and model selection. The book’s focused scope and practical emphasis will equip readers to implement these methods and understand how they are used in current work. The only advanced discussion of modeling for linguists Uses R throughout, in practical examples using real datasets Extensive treatment of mixed-effects regression models Contains detailed, clear guidance on reporting models Equal emphasis on observational data and data from controlled experiments Suitable for graduate students and researchers with computational interests across linguistics and cognitive science
A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics. For more information and materials, please visit www.routledge.com/cw/larson-hall.
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
