Full Description
The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
Contents
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
