Experimental and quasi-experimental designs for generalized causal inference /
Shadish, William R.,
Experimental and quasi-experimental designs for generalized causal inference / William R. Shadish, Thomas D. Cook & Donald T. Campbell. - xxi, 623 páginas : ilustraciones, gráficas ; 24 cm .
Incluye índice de nombres y materias, glosario y referencias bibliográficas.
1. Experiments and generalized causal inference ; 2. Statistical conclusion validity and internal validity ; 3. Construct validity and external validity ; 4. Quasi-experimental designs that either lack a control group or lack pretest observations on the outcome ; 5. Quasi experimental designs that use both control groups and pretests ; 6. Quasi experimentals: interrupted time series designs ;7. Regression discontinuity designs ; 8. Randomized experiments: rationale, designs, and conditions conducive to doing them ; 9. Practical problems 1: ethics, participant recruitment, and random assignment ; 10. Practical problems 2: treatment implementation and attrition ; 11. Generazed causal inference: a grounded theory ; 12. Generalized causal inference: methods for single studies ; 13. Generalized causal inference: methods for multiple studies ; 14. A critical assessment of our assumptions.
9780395615560
Causalidad--Investigaciones
Investigación cuantitativa
Diseño Experimental
Inferencia (Lógica)
Estadística matemática
Metafísica
001.43 / SH524
Experimental and quasi-experimental designs for generalized causal inference / William R. Shadish, Thomas D. Cook & Donald T. Campbell. - xxi, 623 páginas : ilustraciones, gráficas ; 24 cm .
Incluye índice de nombres y materias, glosario y referencias bibliográficas.
1. Experiments and generalized causal inference ; 2. Statistical conclusion validity and internal validity ; 3. Construct validity and external validity ; 4. Quasi-experimental designs that either lack a control group or lack pretest observations on the outcome ; 5. Quasi experimental designs that use both control groups and pretests ; 6. Quasi experimentals: interrupted time series designs ;7. Regression discontinuity designs ; 8. Randomized experiments: rationale, designs, and conditions conducive to doing them ; 9. Practical problems 1: ethics, participant recruitment, and random assignment ; 10. Practical problems 2: treatment implementation and attrition ; 11. Generazed causal inference: a grounded theory ; 12. Generalized causal inference: methods for single studies ; 13. Generalized causal inference: methods for multiple studies ; 14. A critical assessment of our assumptions.
9780395615560
Causalidad--Investigaciones
Investigación cuantitativa
Diseño Experimental
Inferencia (Lógica)
Estadística matemática
Metafísica
001.43 / SH524
