Approaches to Mixed Methods Research shows how social scientists design studies that mix quantitative and qualitative data in ways that lead to a more holistic body of evidence from the research.
Approaches to Mixed Methods Research shows how social scientists design studies that mix quantitative and qualitative data in ways that lead to a more holistic body of evidence from the research.
Lisa D. Pearce is Professor and Chair of the Department of Sociology at the University of North Carolina at Chapel Hill. She is also a Faculty Fellow at the Carolina Population Center. Her research examines how religions and families shape ideas and behavior from youth into adulthood-in the U.S. and Nepal. Pearce has published three previous books, and her articles have appeared in outlets such as Social Forces, Journal for the Scientific Study of Religion, and Journal of Marriage and Family. Pearce's research often integrates the collection and analysis of qualitative and quantitative data, and she writes and teaches about mixed methods research.
Inhaltsangabe
Series Editor Introduction Acknowledgments About the Authors Chapter 1: What Is Mixed Methods Research and Why Use It? The Field of Mixed Methods Research Clarifying Some Terminology Overview of the Book Chapter 2: Developing Research Questions and Hypotheses in Mixed Methods Research Predetermined Research Questions or Hypotheses for Mixed Methods Research Emergent Research Questions or Hypotheses in Mixed Methods Research Application Exercises Chapter 3: Sampling and Case Selection Sampling in Concurrently Designed and Collected Mixed Methods Projects Sequential Sampling in Mixed Methods Projects Application Exercises Chapter 4: Combining Methods to Improve Data Collection Tools Improving Quantitative Data Collections With Findings From Qualitative Data Results From Quantitative Data Informing the Collection of Qualitative Data Hybrid Data Collection Tools Application Exercises Chapter 5: Integrating Quantitative and Qualitative Data in Analysis and Interpretation Rationale for Mixing Data Analyses The Process of Integrating Different Data Analyses Application Exercises Chapter 6: Challenges and Rewards in Mixed Methods Research Common Issues in Mixed Methods Research When to Use a Mixed Methods Approach (or Not) Rewards of a Mixed Methods Approach What the Future Holds Application Exercises Appendix: Mixed Method Studies by Chapter References
Series Editor Introduction Acknowledgments About the Authors Chapter 1: What Is Mixed Methods Research and Why Use It? The Field of Mixed Methods Research Clarifying Some Terminology Overview of the Book Chapter 2: Developing Research Questions and Hypotheses in Mixed Methods Research Predetermined Research Questions or Hypotheses for Mixed Methods Research Emergent Research Questions or Hypotheses in Mixed Methods Research Application Exercises Chapter 3: Sampling and Case Selection Sampling in Concurrently Designed and Collected Mixed Methods Projects Sequential Sampling in Mixed Methods Projects Application Exercises Chapter 4: Combining Methods to Improve Data Collection Tools Improving Quantitative Data Collections With Findings From Qualitative Data Results From Quantitative Data Informing the Collection of Qualitative Data Hybrid Data Collection Tools Application Exercises Chapter 5: Integrating Quantitative and Qualitative Data in Analysis and Interpretation Rationale for Mixing Data Analyses The Process of Integrating Different Data Analyses Application Exercises Chapter 6: Challenges and Rewards in Mixed Methods Research Common Issues in Mixed Methods Research When to Use a Mixed Methods Approach (or Not) Rewards of a Mixed Methods Approach What the Future Holds Application Exercises Appendix: Mixed Method Studies by Chapter References
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