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    Converging Science and Practice in Analyzing Evaluation Data

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    Name:
    8219.johnson.1982.converging-s ...
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    Description:
    conference paper
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    Author
    Johnson, Knowlton W.
    Keyword
    justice research
    research methods
    Metadata
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    URI
    http://hdl.handle.net/11122/10729
    Other identifiers
    JC 8219
    Abstract
    A strategy is presented for converging science and practice which focuses on the needs of scientists and policymakers in analyzing evaluation data. Emphasis is placed on employing powerful statistical techniques that maximize the evaluators' confidence in their results. Attention is also drawn to the need for producing results which can be easily communicated to and interpreted by policymakers. In regard to these requirements, the discussion concerns application of four statistical techniques: factor analysis, Guttman scalogram analysis, multiple classification analysis and cross-break analysis. Each statistical analysis technique is described as to its value in evaluation research for dealing with problems known to inhibit the convergence of science and practice. The application of these techniques is demonstrated by illustrations taken from previous evaluation studies. The paper concludes with implications for stimulating the extent and quality of evaluation use.
    Table of Contents
    Abstract / [Introduction] / Data Analysis Problems Inhibiting Convergence / Multivariate Analysis in a Policymaking Context / Conclusions and Implications / Notes / References
    Date
    1983-03
    Publisher
    Justice Center, University of Alaska Anchorage
    Type
    Working Paper
    Citation
    Johnson, Knowlton W. (1982). "Converging Science and Practice in Analyzing Evaluation Data". Paper presented at the annual meeting of the Academy of Criminal Justice Sciences, Louisville, Mar 1981; revised 1982.
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    Conference papers

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