The Research Imagination
An Introduction to Qualitative and Quantitative Methods
- Authors:
- Paul S. Gray, Boston College, Massachusetts
- John B. Williamson, Boston College, Massachusetts
- David A. Karp, Boston College, Massachusetts
- John R. Dalphin, Merrimack College, Massachusetts
- Date Published: November 2007
- availability: Available
- format: Paperback
- isbn: 9780521705554
Paperback
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The idea that science is a blueprint for research, and imagination gives research its life and purpose inspired this comprehensive explanation of research methodology. The authors' decades of experience have revealed that research is a craft requiring judgment and creativity, not simply memorization and application of the rules of science. Whether one is conducting an intimate one-on-one interview or a large-scale examination of an entire society, human imagination and scientific principles of inquiry go hand in hand. To that end, this book emphasizes scientific method, but also acknowledges its critics. It covers a wide variety of data-collection techniques, but presents them as reinforcing rather than competing with one another, thus striking a balance between qualitative and quantitative methods. It is designed for students and instructors who want a comprehensive treatment of a variety of research techniques with special emphasis on qualitative approaches.
Read more- Provides a balance between qualitative and quantitative methods
- End of chapter exercises use action learning approach emphasizing learning by doing
- Reflects current, up-to-date and cutting edge research
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×Product details
- Date Published: November 2007
- format: Paperback
- isbn: 9780521705554
- length: 480 pages
- dimensions: 254 x 178 x 25 mm
- weight: 0.8kg
- contains: 29 tables
- availability: Available
Table of Contents
1. Research process
2. Theory and method
3. Research design
4. Measurement
5. Ethical and political issues
6. Sampling
7. Survey research
8. Intensive interviewing
9. Observational field research
10. Feminist methods
11. Historical analysis
12. Experimental research
13. Content analysis
14. Aggregate data analysis
15. Comparative research method
16. Evaluation research
17. Indexes and scales
18. Basic statistical analysis
19. Multivariate analysis and statistical significance
Epilogue: the value and limits of social science knowledge.-
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