Reviews& " ...I received my book yesterday...thank you so much! I used the 1979 version a lot in my PhD program and am eagerly re-reading it. It's a great experimental design book and is excellent for explaining validity issues to students!& ", ...I received my book yesterday...thank you so much! I used the 1979 version a lot in my PhD program and am eagerly re-reading it. It's a great experimental design book and is excellent for explaining validity issues to students!, ..."I received my book yesterday...thank you so much! I used the 1979 version a lot in my PhD program and am eagerly re-reading it. It's a great experimental design book and is excellent for explaining validity issues to students!", 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, .,."I received my book yesterday...thank you so much! I used the 1979 version a lot in my PhD program and am eagerly re-reading it. It's a great experimental design book and is excellent for explaining validity issues to students!"
Number of Volumes2 vols.
Edition DescriptionRevised edition
Table Of Content1. 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
SynopsisThis long awaited successor of the original Cook/CampbellQuasi-Experimentation: Design and Analysis Issues for Field Settingsrepresents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies, 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:, 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: Theoretical matters: Experimentation, causation, and validityQuasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designsRandomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attritionGeneralized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies
LC Classification NumberBD591.S48 2001