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 - 093530234 - 9