Learning more from social experiments : evolving analytic approaches /

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"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...

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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
Descripción
Sumario:"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 evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study."--Jacket.
Notas:"An MDRC project."
Descripción Física:1 online resource (xi, 246 pages :) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781610440691
1610440692

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