Social experiments : evaluating public programs with experimental methods

By:

Orr, Larry L

Material type: Text

TextPublication details: New Delhi Sage 1999Description: 263ISBN:

9780761912958

Subject(s):

DDC classification:

300.72 ORR

Summary: Intended to provide a basic understanding not only of how to design and implement social experiments, but also of how to interpret their results once they are completed, author Larry L. Orr's Social Experiments is written in a friendly, how-to manner. Through the use of illustrative examples, how-to exhibits and cases, and boldface key words, Orr provides readers with a grounding in the experimental method, including the rational and ethical issues of random assignment; designs that best address alternative policy questions; maximizing the precision of the estimates; implementing the experiment in the field; data collection; estimating and interpreting program impacts, costs, and benefits; dealing with potential biases; and the use and misuse of experimental results in the policy process.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Gandhi Smriti Library	300.72 ORR (Browse shelf(Opens below))	Available		158195

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Previous	300.72 MNS M. N. Srinivas	300.72 MOR Counterfactuals and causal inference	300.72 ORN Companion to survey research	300.72 ORR Social experiments : evaluating public programs with experimental methods	300.72 PUN Developing effective research proposals	300.72 QUA Quality research	300.72 ROB Real world research : a resource for social scientists and practioner researchers	Next

Intended to provide a basic understanding not only of how to design and implement social experiments, but also of how to interpret their results once they are completed, author Larry L. Orr's Social Experiments is written in a friendly, how-to manner. Through the use of illustrative examples, how-to exhibits and cases, and boldface key words, Orr provides readers with a grounding in the experimental method, including the rational and ethical issues of random assignment; designs that best address alternative policy questions; maximizing the precision of the estimates; implementing the experiment in the field; data collection; estimating and interpreting program impacts, costs, and benefits; dealing with potential biases; and the use and misuse of experimental results in the policy process.

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