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Evaluating Multidimensional Performance

Author

Listed:
  • Gloria A. Grizzle

    (Florida State University)

  • Ann D. Witte

    (University of North Carolina)

Abstract

Social judgment theory (SJT) is a method for eliciting opinions about the relative importance of multiple objectives or attributes. When SJT is used to elicit the opinions of individuals who form a group, one must consider by what method these individual opinions can be aggregated to represent the group's opinion. This article suggests a functional form for analyzing opinions elicited by SJT and a method for combining individual opinions. It then applies the proposed model to the problem of establishing relative weights for six performance dimensions for a public sector agency. Analysis of data for individuals in two groups indicates that both interaction and quadratic terms are important in describing how individuals evaluate agency performance. Further, individ ual methods of agency evaluation are so diverse that a random coefficient model of valuation for the group as a whole is more appropriate than the traditional fixed coefficient model.

Suggested Citation

  • Gloria A. Grizzle & Ann D. Witte, 1984. "Evaluating Multidimensional Performance," Evaluation Review, , vol. 8(6), pages 777-800, December.
  • Handle: RePEc:sae:evarev:v:8:y:1984:i:6:p:777-800
    DOI: 10.1177/0193841X8400800602
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    References listed on IDEAS

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    1. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
    2. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    3. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    4. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    5. Fuss, Melvyn & McFadden, Daniel & Mundlak, Yair, 1978. "A Survey of Functional Forms in the Economic Analysis of Production," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 4, McMaster University Archive for the History of Economic Thought.
    6. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    7. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
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