Learning more from social experiments : evolving analytic approaches /

Mostrar otras versiones (1)

"Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random-assignment studies can be overcome by combining data from these studies with statistical methods from other research designs." "Bloom e...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bloom, Howard S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Russell Sage Foundation, ©2005.
Colección:UPCC book collections on Project MUSE.
Temas:
Experimental design.
Social sciences > Research.
Social sciences > Experiments.
Plan d'expérience.
Sciences sociales > Recherche.
SOCIAL SCIENCE > Methodology.
Social Sciences.
Social Sciences - General.
"An MDRC project."
"Multi-User"
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contributors; Preface; Chapter 1. Precedents and Prospects for Randomized Experiments
  • Charles Michalopoulos; Chapter 2. Modeling Cross-Site Experimental Differences to Find Out Why Program Effectiveness Varies
  • Howard S. Bloom, Carolyn J. Hill, and James A. Riccio; Chapter 3. Constructing Instrumental Variables from Experimental Data to Explore How Treatments Produce Effects
  • Lisa A. Gennetian, Pamela A. Morris, Johannes M. Bos, and Howard S. Bloom; Chapter 4. Randomizing Groups to Evaluate Place-Based Programs
  • Howard S. Bloom.
  • Chapter 5. Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects
  • Howard S. Bloom, Charles Michalopoulos, and Carolyn J. HillIndex.

Ejemplares similares