W. Alex Edmonds, PhD, BCB, is currently an associate professor of research at Nova Southeastern University in Davie, Florida. He graduated from Florida State University and received his doctoral degree in Educational Psychology with a minor in Statistics and Measurement. Over the years, Dr. Edmonds has applied his knowledge of research design, measurement, and assessment in both field and laboratory examinations. He has published extensively in a variety of areas such as psychophysiology and educational psychology. His primary interest revolves around applying unique methodological and statistical techniques as a means to exploring the relationship between emotions, physiology and performance in a variety of domains. He also has over 10 years of experience in applying biofeedback in field and research applications. While in graduate school, he conducted his field work with the track and field team at Florida State and started using biofeedback for research and practice during this time. He has utilized biofeedback extensively with various types of athletes for performance enhancement, as well as stress-regulation techniques for individuals with type 2 diabetes and pain management for patients suffering from chronic pain. Dr. Edmonds is certified through the Biofeedback Certification International Alliance in general biofeedback.

Chapter 1: The Scientific Method and Relevant Components
The Scientific Method
Validity and Research Designs
Design Logic
Design Notations
Assignment Techniques
Comparison and Control Groups
Sampling Strategies
Research Questions
Part I: Quantitative Methods for Experimental and Quasi-Experimental Research
Experimental Research
Quasi-Experimental Research
Chapter 2: Between-Subjects Approach
Pretest and Posttest Designs
Posttest Designs
Chapter 3: Regression-Discontinuity Approach
Chapter 4: Within-Subjects Approach
Repeated-Measures Approach
Chapter 5: Factorial Designs
Chapter 6: Solomon N-Group Designs
Chapter 7: Single-Case Approach
Part II: Quantitative Methods for Nonexperimental Research
Chapter 8: Ex Post Facto and Posttest-Only Designs
Chapter 9: Observational Approach
Explanatory Design
Predictive Design
Chapter 10: Survey Approach
Cross-Sectional Design
Longitudinal Design
Part III: Qualitative Methods
Chapter 11: Grounded Theory Perspective
Systematic Design
Emerging Design
Constructivist Design
Chapter 12: Ethnographic Perspective
Realist Design
Critical Design
Case Study Design
Chapter 13: Narrative Perspective
Descriptive Design
Explanatory Design
Critical Design
Chapter 14: Phenomenological Perspective
Existential Design
Transcendental Design
Hermeneutic Design
Case Study Design
Part IV: Mixed Methods
Chapter 15: Convergent-Parallel Approach
Parallel-Databases Design
Data-Transformation Design
Data-Validation Design
Multilevel Design
Chapter 16: Embedded Approach
Embedded-Experiment Design
Embedded-Correlational Design
Embedded Case Study Design
Chapter 17: Explanatory-Sequential Approach
Follow-Up Explanations Design
Participant-Selection Design
Chapter 18: Exploratory-Sequential Approach
Instrument-Development Design
Theory-Development Design
Treatment-Development Design
Chapter 19: Mixed Methods, Case Studies, and Single-Case Approaches
Mixed-Method A-B-A Designs
Chapter 20: Action Research Approaches
Chapter 21: Conclusion
Philosophical Tenets
Data Analytics
Final Remarks