Learning More from Social Experiments: Evolving Analytic Approaches - Brossura

Brossura

ISBN 10: 0871541335 ISBN 13: 9780871541338

Casa editrice: Russell Sage Foundation, 2006

Riassunto

Policy analysis has grown increasingly reliant on the random assignment experiment--a research method whereby participants are sorred by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In "Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies. 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. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program's intermediate outcomes (e.g., how closely patients in a drug studyadhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly as

Dettagli dell'edizione

• Editore: Russell Sage Foundation
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0871541335
• ISBN 13: 9780871541338
• Rilegatura: Copertina flessibile
• Numero di pagine: 264
• Redattore: Bloom Howard S.
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile