Part I. Introduction to Complexity Theory: 1. Introduction -- 2. What is Complexity Theory? -- 3. Applying Complexity Theory to Research -- Part II. Qualitative Approaches and Methods for CDST Research: 4. Qualitative Comparative Analysis -- 5. Agent-Based Modeling -- 6. Process Tracing -- 7. Concept Mapping -- 8. Retrodictive Qualitative Modeling -- 9. Social Network Analysis -- 10. Design Based Research Methods -- Part III. Quantitative Approaches and Methods for CDST Research: 11. Experience Sampling Method -- 12. Latent Growth Curve Modeling -- 13. Time Series Analysis -- 14. Panel Designs -- 15. Multilevel Modeling -- 16. Single-Case Experimental Analysis -- 17. Idiodynamic Method -- Part IV. Conclusion: 18. Integrating Methods and The Future of CDST Research -- 19. Glossary and Further Resources for CDST.
Summary:
"This accessible guide to Complex Dynamic Systems Theory (CDST) research presents practical methods and templates for how applied linguistics researchers can design and conduct research using the CDST framework and equips readers with the knowledge to ensure compatibility between empirical research designs and the theoretical tenets of complexity"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.