This article explores the problem of evaluating programs with numerous jurisdictional
implementations. Typically, budget and time constraints may not allow evaluation of
every instance of program implementation. Therefore, a method is needed to guide the
selection of a sample of implementations, the analyses of which are generalizable to the
program population as a whole. Two sample selection techniques are introduced: cluster
analysis and an optimization technique. The techniques are applied to select a sample of
states to evaluate the national benefits and costs of the Residential Conservation Service.
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References
1.
California Energy Commission (1983) RCS Follow-Up Survey Analysis: Staff Report.
2.
Everitt, R. (1980) Cluster Analysis. New York: Basic Books.
3.
Hirst, E., P. Hu, E. Taylor, K. Thayer, and S. Groeneman (1983a) The Residential Conservation Service in Connecticut: Evaluation of the CONN SAVE Program, ORNL/CON-132. Oak Ridge, TN: Oak Ridge National Laboratory.
4.
———R. Goeltz, M. Thornsjo, and D. Sundin (1983b) Evaluation of Home Energy Audit and Retrofit Loan Programs in Minnesota: The Northern States Power Experience, ORNL/CON-136 . Oak Ridge, TN: Oak Ridge National Laboratory.
5.
Hodson, F.R. (1971) "Numerical typology and prehistoric archaeology ," pp. 30-45 in F R. Hodson, D. G. Kendell, and P. A. Tauta (eds.) Mathematics in the Archaeological and Historical Sciences. Edinburgh, Scotland: University Press.
6.
Kushler, M.G. and J.A. Saul (1983) Fuel Consumption Impacts of the Michigan RCS Program: First Year Results. MichiganEnergy Administration.
7.
———( 1982) The Results of a Survey Evaluation of the Michigan RCS Program. MichiganEnergy Administration.
8.
Morris, L.E., L. Frogge, A. Ehrenshaft, and J. Riodan (1983) Residential Conservation Service Program, Summary of the Second Annual Reports submitted to the U.S. Department of Energy by States and Non-Regulated Utilities, ORNL/ CON-121Oak Ridge, TN: Oak Ridge National Laboratory.
9.
Paykel, E.S. and E. Rassaby (1978) "Classification of suicide attempts by cluster analysis." British J. of Psychiatry120: 147-156.
10.
Tonn, B. (1983) Selection of States for Evaluation of the Residential Conservation Service, ORNL/CON-139. Oak Ridge, TN: Oak Ridge National Laboratory.
11.
Wishart, D. (1969) Fortran II Programs for 8 Methods of Cluster Analysis (Clustan 1), computer Contribution 39, State Geological Survey. Lawrence: University of Kansas.
