The idea that science is a blueprint for research, and imagination gives research its life and purpose inspired this comprehensive explanation of research methodology. It covers a wide variety of data-collection techniques, and shows how they can reinforce one another, thus striking a balance between qualitative and quantitative methods.
The idea that science is a blueprint for research, and imagination gives research its life and purpose inspired this comprehensive explanation of research methodology. It covers a wide variety of data-collection techniques, and shows how they can reinforce one another, thus striking a balance between qualitative and quantitative methods.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Professor Paul S. Gray (BA Princeton, MA Education, Stanford) received his Ph.D. from Yale University and has taught at Boston College for 32 years. In addition to teaching, Gray also works as a business consultant specializing in leadership development and corporate citizenship. Gray is the Faculty Chair of Leadership for Change associated with Boston College's Carroll School of Management. Gray has conducted research on topics as diverse as higher education in Massachusetts and labor unions in Africa. His research has been published in Symbolic Interaction, Industrial Relations, and the Journal of African Studies.
Inhaltsangabe
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.
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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