Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies

DSpace/Manakin Repository

Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies

Citable link to this page

 

 
Title: Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies
Author: Rubin, Donald B.
Citation: Rubin, Donald B. 1974. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66(5): 688-701.
Access Status: Full text of the requested work is not available in DASH at this time (“dark deposit”). For more information on dark deposits, see our FAQ.
Full Text & Related Files:
Abstract: Presents a discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation. The objective was to specify the benefits of randomization in estimating causal effects of treatments. It is concluded that randomization should be employed whenever possible but that the use of carefully controlled nonrandomized data to estimate causal effects is a reasonable and necessary procedure in many cases.
Published Version: http://dx.doi.org/10.1037/h0037350
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3408692
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters