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Multisite Employment and Training Program Evaluations: A Tale of Three Studies

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  • David Greenberg
  • Robert H. Meyer
  • Michael Wiseman

Abstract

This paper explores the gains from multiplying the number of sites used in experimental evaluation of the effects of employment and training programs. Using a multilevel (hierarchical) statistical framework, the authors analyze the role of site multiplication in three recent program evaluations. Although several experiments have involved substantial numbers of sites, the potential benefits from such strategies are largely unrealized. The authors argue for more involvement of the federal government in designing and implementing evaluations that will allow analysis of how the interaction of client, program, and environmental variables affects outcomes.

Suggested Citation

  • David Greenberg & Robert H. Meyer & Michael Wiseman, 1994. "Multisite Employment and Training Program Evaluations: A Tale of Three Studies," ILR Review, Cornell University, ILR School, vol. 47(4), pages 679-691, July.
    • Handle: RePEc:sae:ilrrev:v:47:y:1994:i:4:p:679-691
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    Cited by:

    1. David Weisburd & Cynthia M. Lum & Sue-Ming Yang, 2003. "When can we Conclude that Treatments or Programs “Don’t Work†?," The ANNALS of the American Academy of Political and Social Science, , vol. 587(1), pages 31-48, May.
    2. David Greenberg & Marvin Mandell & Matthew Onstott, 2000. "The dissemination and utilization of welfare-to-work experiments in state policymaking," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 367-382.
    3. David Greenberg & Robert Meyer & Charles Michalopoulos & Michael Wiseman, 2003. "Explaining Variation in the Effects of Welfare-To-Work Programs," Evaluation Review, , vol. 27(4), pages 359-394, August.

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