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interaction and cross-level effects among these variables.  We maintain strong expectations, nonetheless, that this research endeavor will be able to produce “the kinds of policy- and practice-relevant information necessary to improve the effectiveness and efficiency of drug abuse treatment,” as Etheridge et al. (1999:111), other researchers and substance abuse treatment policymakers have suggested is urgently needed.

References

Attewell, Paul and Dean R. Gerstein.  1979.  Government policy and local practice.  American Sociological Review 44 (April): 311-327.

Bloom, Howard S., Carolyn J. Hill, and James Riccio.  2001. Modeling the Performance of Welfare-to-Work Programs: The Effects of Program Management and Services, Economic Environment, and Client Characteristics.  Manpower Demonstration Research Corporation Working Papers on Research Methodology.

Brewer, Gene A. and Sally Coleman Selden.  2000.  Why Elephants Gallop: Assessing and Predicting Organizational Performance in Federal Agencies.  Journal of Public Administration Research and Theory 10(4): 685-711.

Broome, Kirk M., D. Dwayne Simpson, and George W. Joe. 1999.  Patient and program attributes related to treatment process indicators in DATOS.  Drug and Alcohol Dependence 57 (December): 127-135.

Bryk, Anthony S. and Stephen W. Raudenbush.  1992.  Hierarchical linear models: applications

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