Experimental and Quasi-Experimental Dsigns for Generalized Causal inf - erence

Klappentext This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Zusammenfassung This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Inhaltsverzeichnis 1. Experiments and Generalized Causal Inference2. Statistical Conclusion Validity and Internal Validity3. Construct Validity and External Validity4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome5. Quasi-Experimental Designs That Use Both Control Groups and Pretests6. Quasi-Experimentation: Interrupted Time Series Designs7. Regression Discontinuity Designs8. Randomized Experiments: Rationale! Designs! and Conditions Conducive to Doing Them9. Practical Problems 1: Ethics! Participant Recruitment! and Random Assignment10. Practical Problems 2: Treatment Implementation and Attrition11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies13. Generalized Causal Inference: Methods for Multiple Studies14. A Critical Assessment of Our Assumptions

Dettagli sul prodotto

• Autori: Donald T. Campbell, Donald T. (Lehigh University) Campbell, Thomas D. Cook, Thomas D. (Northwestern University) Cook, William R. Shadish
• Editore: Houghton Mifflin College Division
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 20.11.2001
• EAN: 9780395615560
• ISBN: 978-0-395-61556-0
• Dimensioni: 178 mm x 228 mm x 25 mm
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica