This authoritative collection provides a practical and comprehensive introduction to team-based qualitative research. The authors are social scientists and health researchers with extensive experience in this rapidly expanding field. Qualitative research has become increasingly interdisciplinary and team oriented. The transition away from the lone-researcher approach to collaborative and inter-institutional research creates new challenges for designing and implementing qualitative research. The authors use examples from both American and international studies to show how working in teams…mehr
This authoritative collection provides a practical and comprehensive introduction to team-based qualitative research. The authors are social scientists and health researchers with extensive experience in this rapidly expanding field. Qualitative research has become increasingly interdisciplinary and team oriented. The transition away from the lone-researcher approach to collaborative and inter-institutional research creates new challenges for designing and implementing qualitative research. The authors use examples from both American and international studies to show how working in teams affects research design, project management, data analysis, and the presentation of research findings. The book offers numerous approaches and methods for making team research more efficient and enhancing the quality of research findings throughout all stages of the research process. Topics covered include: project design and preparation; logistics; research ethics; political dimensions of collaborative research; data collection; transcription and data management; codebook development; data reduction and analysis; monitoring and quality control; and dissemination of results.
Greg Guest is a behavioral scientist/applied anthropologist at Family Health International. Over the past decade, Guest has managed multi-disciplinary projects in various fields of research including human ecology, human-computer interaction, consumer behavior, agricultural development, and international health. He has an ongoing interest in the integration of qualitative and quantitative methodology as well as the translation of social science research to practice. Guest is editor of Globalization, Health, and the Environment (AltaMira 2005). Kathleen M. MacQueen is Coordinator of Interdisciplinary Research Ethics and Senior Scientist with the Behavioral and Social Sciences Division at Family Health International in Durham, NC. She is also adjunct faculty with the University of North Carolina at Chapel Hill in the Department of Social Medicine, School of Medicine, and in the Health Behavior and Health Education Program, School of Public Health. She has a Ph.D. in anthropology from Binghamton University and a MPH from the Rollins School of Public Health at Emory University.
Inhaltsangabe
Chapter 1 Introduction to Team-Based Qualitative Research Chapter 2 Ethics and Team-Based Research Chapter 3 The Politics of Field Research Chapter 4 A Logistical Framework for Enhancing Team Dynamics Chapter 5 Transcribing Data for Team Research Chapter 6 Team-based Codebook Development: Structure, Process, and Agreement Chapter 7 Data Reduction Techniques for Large Qualitative Data Sets Chapter 8 Qualitative Data Management Chapter 9 A Framework for Monitoring Sociobehavioral Research 10 Re-evaluating Guidelines in Qualitative Research 11 Systematic Methods for Collecting and Analyzing Team-Based Qualitative Data
Chapter 1 Introduction to Team-Based Qualitative Research Chapter 2 Ethics and Team-Based Research Chapter 3 The Politics of Field Research Chapter 4 A Logistical Framework for Enhancing Team Dynamics Chapter 5 Transcribing Data for Team Research Chapter 6 Team-based Codebook Development: Structure, Process, and Agreement Chapter 7 Data Reduction Techniques for Large Qualitative Data Sets Chapter 8 Qualitative Data Management Chapter 9 A Framework for Monitoring Sociobehavioral Research 10 Re-evaluating Guidelines in Qualitative Research 11 Systematic Methods for Collecting and Analyzing Team-Based Qualitative Data
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