Hossein Nassaji is Professor of Applied Linguistics at the University of Victoria, British Columbia, Canada. He has received several prizes and awards including the Kenneth W. Mildenberger Prize of Modern Language Association of America, the Research Excellence Award, University of Victoria, and the BC TEAL 50 at 50 Award. He has been recently elected as a Fellow of the Royal Society of Canada.

Part I. Introduction to Applied Linguistics Research: 1. Introduction: the nature of and purpose of research; 2. Applied linguistics research: its nature, significance and scope; 3. Ethics in applied linguistics research: principles, best practices, and challenges; Part II. Research Process and Designing Research: 4. The research process: a 10 step model; 5. A framework for understanding research types; 6. Understanding and describing research constructs and variables; 7. Review of the literature and the development of research questions; Part III. Quantitative Research Designs and Data Collection: 8. Selecting participants for quantitative research: sampling techniques and methods; 9. Designing quantitative research: types and techniques; 10. Collecting quantitative data: tools and techniques; 11. Understanding and assessing reliability in quantitative research; 12. Understanding and assessing validity in quantitative research; Part IV. Qualitative Research Designs, Data Collection and Analysis: 13. Selecting participants for qualitative research sampling techniques and methods; 14. Designing qualitative research: types and techniques; 15. Collecting qualitative data: methods and strategies; 16. Analyzing qualitative data: techniques and strategies; 17. Understanding and establishing reliability and validity in qualitative research; Part V. Quantitative Research Data Analysis and Interpretation: 18. Analyzing quantitative data: descriptive statistics; 19. Analyzing quantitative data: exploring key concepts in inferential statistics; 20. Commonly used inferential statistics tests in applied linguistics research: parametric tests; 21. Commonly used inferential statistics tests in applied linguistics research: non-parametric tests; 22. Advanced statistical models: GLMs, mixed models, and multivariate analysis; 23. Effect sizes: types, calculations, and interpretation; Part VI. Carrying Out Mixed Methods Research: 24. Mixed methods research: integrating qualitative and quantitative approaches; Part VII. Dissemination of Research Findings: 25. Disseminating research findings: writing research reports.