Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies
View/ Open
11.pdf (1.195Mb)
Access Status
Full text of the requested work is not available in DASH at this time ("restricted access"). For more information on restricted deposits, see our FAQ.Author
Published Version
https://doi.org/10.1037/h0037350Metadata
Show full item recordCitation
Rubin, Donald B. 1974. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66(5): 688-701.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.Citable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:3408692
Collections
- FAS Scholarly Articles [18179]
Contact administrator regarding this item (to report mistakes or request changes)