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Estimating Causal Effects: Using Experimental and Observational Designs

A think tank white paper prepared under the auspices of the AERA Grants Program. Key issues include

  • Causality: Forming an Evidential Base
  • The Logic of Causal Inference
  • The Formal Specification of the Causal Inference Model
  • Criteria for Making Causal Inferences
  • Issues in the Design and Fielding of Randomized Experiments
  • Estimating Causal Effects Using Observational DataMethods for Approximating Randomized Assignment
  • Analysis of Large-Scale Datasets: Cases of NSF-Supported Research

Authored by Barbara Schneider, Martin Carnoy, Jeremy Kilpatrick, William H. Schmidt, Richard J. Shavelson

ISBN: 978 - 935302344 - 7

Product Number:  AERWECE
In Stock: 2422
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Non-Member Price:: $26.95


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