Research methods for complexity theory in applied linguistics

著者

書誌事項

Research methods for complexity theory in applied linguistics

Phil Hiver and Ali H. Al-Hoorie ; [with a foreword by Diane larsen-Freeman]

（Second language acquisition / series editor, David Singleton, 137）

Multilungual Matters, c2020

  • : pbk
  • : hbk

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

This book provides practical guidance on research methods and designs that can be applied to Complex Dynamic Systems Theory (CDST) research. It discusses the contribution of CDST to the field of applied linguistics, examines what this perspective entails for research and introduces practical methods and templates, both qualitative and quantitative, for how applied linguistics researchers can design and conduct research using the CDST framework. Introduced in the book are methods ranging from those in widespread use in social complexity, to more familiar methods in use throughout applied linguistics. All are inherently suited to studying both dynamic change in context and interconnectedness. This accessible introduction to CDST research will equip readers with the knowledge to ensure compatibility between empirical research designs and the theoretical tenets of complexity. It will be of value to researchers working in the areas of applied linguistics, language pedagogy and educational linguistics and to scholars and professionals with an interest in second/foreign language acquisition and complexity theory.

目次

Part I. Introduction to Complexity Theory Chapter 1. Introduction Chapter 2. What is Complexity Theory? Chapter 3. Applying Complexity Theory to Research Part II. Qualitative Methods Chapter 4. Qualitative Comparative Analysis Chapter 5. Process Tracing Chapter 6. Concept Mapping Chapter 7. Agent-Based Modeling Chapter 8. Retrodictive Qualitative Modeling Chapter 9. Social Network Analysis Chapter 10. Design Based Research Methods Part III. Quantitative Methods Chapter 11. Panel Designs Chapter 12. Latent Growth Curve Modeling Chapter 13. Multilevel Modeling Chapter 14. Time Series Analysis Chapter 15. Experience Sampling Method Chapter 16. Single-Case Designs Chapter 17. Idiodynamic Method Part IV. C The Future of CDST Methodology Chapter 18. Method Integration Chapter 19. Glossary and Further Resources for CDS Methodology

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