Abstract
Society cannot afford to institute poorly tested reforms because a substantial fraction of innovations, when carefully tested, prove not to be beneficial.
Poorly controlled investigations are likely to make an innovation appear to perform better than it actually does.
Where applicable, well controlled field trials of innovations can offer valuable information. The better opportunities occur when dealing with effects on small, independent, individual units such as individuals, households, classrooms, or small geographic units. The difficult problems of changing organizations or markets where the chain of causation leading to the output is long seem less likely to yield to this method, though demonstrations may still be useful.
Although individuals must be safeguarded in setting up experiments, the usual arguments against social experimentation such as concern for putting people as risk, opposition to withholding a good, the time-consuming nature of experimentation and its costliness, do not stand up well when compared with the alternatives of haphazard installation of innovations. Such methods give us little chance to appraise the benefits of innovations.
Alternative methods of investigation, although often valuable, have the weakness that they compare different situations as they stand but do not actually make changes in treatment in the field and observe their effect.
Society needs to continue to extend and improve its methods of controlled experimentation in the appraisal of social, economic, and medical innovations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bearman, J. E., Loewenson, R. B. and Gullen, W. H. (1974). Muench’s postulates, laws and corollaries. Biometrics Note No. 4, Bethesda, National Eye Institute, Department of Health, Education, and Welfare.
Evaluation, Program Evaluation Resource Center, Minneapolis Medical Research Foundation, Inc., 501 South Park Avenue, Minneapolis, Minnesota 55415.
Gilbert, J. P., Light, R. J. and Mosteller, F. (1975). Assessing social innovations: an empirical base for policy; in: Evaluation and Experiment: Some Critical Issues in Assessing Social Programs; edited by Bennett, C.A. & Lumsdaine, A.A. Academic Press, New York 39–193.
Gilbert, J. P., McPeek, B. and Mosteller, F. (1977a). Progress in surgery and anesthesia: benefits and risks of innovative therapy; in: Costs, Risks, and Benefits of Surgery; edited by Bunker, J. P., Barnes, B. A. & Mosteller, F. Oxford University Press, New York.
Gilbert, J. P., McPeek, B. and Mosteller, F. (1977b). Statistics and ethics in surgery and anesthesia, Science, 198, 684–689.
Grace, N. D., Muench, H. and Chalmers, T. C. (1966). The present status of shunts for portal hypertension in cirrhosis, Gastroenterology, 50, 684.
Gramlich, E. and Koshel, P. (1973). Social Experiments in Education: the Case of Performance Contracting. Brookings Institution, Washington, D.C.
Rivlin, A. (1974). Allocating resources for public research: how can experiments be more useful? American Economic Review, 64, 346–354.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science + Business Media, LLC
About this chapter
Cite this chapter
Mosteller, F. (2006). Experimentation and Innovations. In: Fienberg, S.E., Hoaglin, D.C. (eds) Selected Papers of Frederick Mosteller. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-44956-2_29
Download citation
DOI: https://doi.org/10.1007/978-0-387-44956-2_29
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-20271-6
Online ISBN: 978-0-387-44956-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)