Description
This book covers the most practical and common research designs currently used in educational and the social and behavioural sciences. It will improve readers’ ability to conceptualize, construct, test, problem solve and acquire knowledge, all of which are characteristics of scientific inquiry and the creative process required when conducting research. 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
