Data Visualization and Analysis in Second Language Research

This book provides an introduction to visualization techniques and statistical models for second language research, focusing on three types of data and covering Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on R software packages. It is a valuable resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics.

Format: Paperback / softback
Length: 264 pages
Publication date: 31 May 2021
Publisher: Taylor & Francis Ltd

This comprehensive introduction to visualization techniques and statistical models for second language research delves into three distinct types of data: continuous, binary, and scalar. By providing a thorough understanding of regression models and their applications, the book empowers readers to utilize these models effectively in their work. Garcia offers an advanced treatment of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. Furthermore, the book showcases the significant benefits of this type of statistical work in the field of second language acquisition, applied linguistics, and corpus linguistics, making it an invaluable resource for graduate students and researchers alike who are interested in quantitative data analysis.

Introduction to Visualization Techniques and Statistical Models for Second Language Research

This comprehensive introduction to visualization techniques and statistical models for second language research delves into three distinct types of data: continuous, binary, and scalar. By providing a thorough understanding of regression models and their applications, the book empowers readers to utilize these models effectively in their work. Garcia offers an advanced treatment of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. Furthermore, the book showcases the significant benefits of this type of statistical work in the field of second language acquisition, applied linguistics, and corpus linguistics, making it an invaluable resource for graduate students and researchers alike who are interested in quantitative data analysis.

The book begins by providing a foundational overview of visualization techniques, including histograms, scatter plots, and box plots, which are essential tools for understanding and interpreting data. It then delves into the principles of regression models, covering topics such as linear regression, multiple linear regression, and logistic regression. Readers are guided through the process of building and evaluating regression models using real-world data sets, with an emphasis on practical considerations and best practices.

Garcia's expertise in Bayesian analysis is evident throughout the book, as he offers advanced coverage of this powerful statistical approach. He explains the principles of Bayesian inference, introduces readers to Markov chain Monte Carlo (MCMC) methods, and demonstrates how to implement Bayesian models in R. This section provides valuable insights for those who are interested in exploring more complex statistical models and gaining a deeper understanding of the underlying principles.

In addition to regression models, the book also explores the use of binary and scalar data in second language research. It discusses the advantages and disadvantages of these data types, as well as the methods and techniques used to analyze and interpret them. Readers are provided with practical examples and exercises to help them apply these concepts to their own research projects.

Garcia's approach to teaching is highly interactive, with numerous examples, exercises, and code snippets provided throughout the book. He emphasizes the importance of hands-on learning and encourages readers to experiment with different data sets and models to gain a deeper understanding of the topics covered. The book also includes a comprehensive reference section that covers the latest R software packages and their functionalities, making it an invaluable resource for researchers and practitioners who are interested in using R for their statistical analysis.

Overall, this introduction to visualization techniques and statistical models for second language research is a valuable resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics. It provides a comprehensive and up-to-date treatment of the topics covered, with an emphasis on practical applications and real-world data sets. By leveraging the power of visualization and statistical models, readers can gain a deeper understanding of the complexities of second language research and make informed decisions based on their findings.

Weight: 422g
Dimension: 151 x 228 x 22 (mm)
ISBN-13: 9780367469610