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Main Title Estimating causal effects : using experimental and observational designs : a think tank white paper /
Other Authors
Author Title of a Work
Schneider, Barbara.
Publisher American Educational Research Association,
Year Published 2007
OCLC Number 225290044
ISBN 9789353023447; 9353023440; 9780935302349; 0935302344
Subjects Education--Research--Methodology ; Causation ; Educational statistics ; Experimental design ; Qualitative research--Methodology
Library Call Number Additional Info Location Last
ELBM  LB1028.E64 2007 AWBERC Library/Cincinnati,OH 05/31/2017
Collation iv, 142 pages : illustration ; 23 cm
"A think tank white paper." "The Governing Board of the American Educational Research Association, Grants Program." Includes bibliographical references.
Contents Notes
1. Introduction -- 2. Causality: forming an evidential base -- 3. Estimating causal effects using observational data -- 4. Analysis of large-scale datasets: examples of NSF-supported research -- 5. Conclusions and recommendations. "The ... report is designed to help researchers, policymakers and funders understand the capacities and limits of examining the causes of educational outcomes with large-scale databases. It is intended to help researchers consider a range of methods designed to establish causality, from experimental to non-experimental designs. For example, the ordinary question "Did A cause B" takes on great significance when applied to education intervention programs. Can small class size, or highly qualified teachers, be shown to have caused increased or decreased learning? With what degree of confidence? ... The report specifically: Considers key issues involved in selecting research designs that allow researchers to draw valid causal inferences about treatment effects using large-scale observational datasets; Addresses why key issues of establishing causal inference are of particular interest to education researchers, briefly explains how causality is commonly defined in scholarly literature, and describes tools that analysts use to approximate randomized experiments with observational data; Reviews four National Science Foundation-funded studies which illustrate the difficulties of and possibilities for making causal inferences when conducting studies focused on significant education issues"--