Description
Book SynopsisThe
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.
Trade Review"This text is intellectually stimulating and challenges students to take a comprehensive approach to their understanding of research designs and concepts. I appreciate the high expectations that the authors have for their readers to fully understand the nature and depth of the research process." -- Rebekah Cole
"I find this text to be especially clear in its approach, while the use of examples and sample exercises would be highly effective for practical, in-class learning. Additionally, the text would be an excellent resource as students put together their research designs, and it would likely work well alongside a more theoretical companion text." -- Jennifer E. Dalton
"The research study examples provided in connection to each research design reflect an additional strength to this text. What I like about this text is that it contains a comprehensive view of designs, without bias regarding one paradigm being better than the other." -- Donna Schnorr
"This is a very useful, practical, and well-devised textbook." -- Micheál Newell
Table of ContentsChapter 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
