Literaturnachweis - Detailanzeige
| Autor/in | Rosenbaum, Paul R. |
|---|---|
| Titel | Observation and experiment. An introduction to causal inference. |
| Quelle | Cambridge: Harvard University Press (2017), xvi, 374 S. |
| Beigaben | Illustrationen |
| Zusatzinformation | Inhaltsverzeichnis Verlagsangaben |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Monographie |
| ISBN | 978-0-674-97557-6; 978-0-674-98269-7 |
| Schlagwörter | Beobachtung; Erhebungsinstrument; Forschungsdesign; Methode; Quasi-Experiment; Experiment; Kausalität; Konzeption |
| Abstract | Using minimal mathematics and statistics, the author explains key concepts and methods through scientific examples that make complex ideas concrete and abstract principles accessible. Some causal questions can be studied in randomized trials in which coin flips assign individuals to treatments. But because randomized trials are not always practical or ethical, many causal questions are investigated in nonrandomized observational studies. To illustrate, the author draws examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry. Readers gain an understanding of the design and interpretation of randomized trials, the ways they differ from observational studies, and the techniques used to remove, investigate, and appraise bias in observational studies. (DIPF/Orig.). Contents: Part I. Randomized Experiments -- 1. A Randomized Trial -- 2. Structure -- 3. Causal Inference in Randomized Experiments -- 4. Irrationality and Polio -- Part II. Observational Studies -- 5. Between Observational Studies and Experiments -- 6. Natural Experiments -- 7. Elaborate Theories -- 8. Quasi-experimental Devices -- 9. Sensitivity to Bias -- 10. Design Sensitivity -- 11. Matching Techniques -- 12. Biases from General Dispositions -- 13. Instruments -- 14. Conclusion -- Appendix: Bibliographic Remarks -- Notes -- Glossary: Notation and Technical Terms -- Suggestions for Further Reading -- Acknowledgments -- Index. |
| Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
| Update | 2018/3 |
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