Outcome-Based Evaluation Data Management

  • Robert L. Schalock


If I was successful in Chapter 6, you should now know which core data sets (recipient characteristics, core-service functions, cost estimates, and valued, person-referenced outcomes) you plan to use in your outcome-based evaluation. Now the task is to determine how best to collect and organize the data physically so that it can be used effectively in one or more of the OBE analyses described in Chapters 3–5. I refer to this process as data management, the result of which is the development of a viable and useful data-management system.

All program administrators have multiple data needs. They are constantly being requested by numerous stakeholders, funding bodies, researchers, and policy makers to provide information about their service recipients, the intervention or services provided, the costs of those services, and the outcomes from the services. My experiences over the years with program managers has led to two conclusions: First, data collection and management is highly frustrating to most administrators, because it requires considerable resources (time, money, expertise) that are seldom budgeted or available; and second, few program managers are trained adequately in data collection and its analysis, let alone evaluation designs and statistics. I have also found, however, that most administrators are very receptive to data, if they can be collected and analyzed in ways that are nonobtrusive, easy to understand, and useful.


Program Administrator Guide Principle Service Recipient Recipient Characteristic Public Section Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Additional Readings

  1. Fishman, D. B. (1992). Postmodernism comes to program evaluation. Evaluation and Program Planning, 15, 263–270.CrossRefGoogle Scholar
  2. Freedland, K. E., & Carney, R. M. (1992). Data management and accountability in behavioral and biomedical research. American Psychologist, 47(5), 640–645.PubMedCrossRefGoogle Scholar
  3. Keen, P. G. W., & Morton, S. S. (1978). Decision support systems: An organizational perspective. Reading, MA: Addison-Wesley.Google Scholar
  4. Rocheleau, B. (1993). Evaluating public section information systems. Evaluation and Program Planning, 16, 119–129.CrossRefGoogle Scholar
  5. Torres, R. T. (1992). Improving the quality of internal evaluation: The evaluator as consultant-mediator. Evaluation and Program Planning, 14, 189–198.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Robert L. Schalock
    • 1
  1. 1.Hastings CollegeHastingsUSA

Personalised recommendations