IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v8y1984i6p777-800.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X8400800602
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X8400800602?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, January.
    5. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
    6. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sperlich, Stefan & Tjøstheim, Dag & Yang, Lijian, 2002. "Nonparametric Estimation And Testing Of Interaction In Additive Models," Econometric Theory, Cambridge University Press, vol. 18(2), pages 197-251, April.
    2. Andrea Mantovi, 2016. "Smooth preferences, symmetries and expansion vector fields," Journal of Economics, Springer, vol. 119(2), pages 147-169, October.
    3. Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2004. "Bootstrap Inference In Semiparametric Generalized Additive Models," Econometric Theory, Cambridge University Press, vol. 20(2), pages 265-300, April.
    4. Rodriguez Poo, Juan M. & Vieu, Philippe, 2000. "Semiparametric estimation of weak and strong separable models," DES - Working Papers. Statistics and Econometrics. WS 10064, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    6. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    7. Moschini, G. & Moro, D., 1993. "A Food demand System for Canada," Papers 1-93, Gouvernement du Canada - Agriculture Canada.
    8. Jean Pierre Huiban & Camille Mastromarco & Antonio Musolesi & Michel Simioni, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers hal-01512154, HAL.
    9. Sauer, J., 2007. "Monotonicity and Curvature – A Bootstrapping Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    10. Andreas Reinstaller & Werner Hölzl, 2004. "Complementarity constraints and induced innovation: some evidence from the first IT regime," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 6, Edward Elgar Publishing.
    11. Carter, Michael R., 1986. "Peasant Productivity And Differentiation: A Microeconometric Analysis Of The Impact Of Small Farm Credit In Nicaragua," 1986 Annual Meeting, July 27-30, Reno, Nevada 278458, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Walter Briec & Kristiaan Kerstens & Ignace Van de Woestyne, 2016. "Congestion in production correspondences," Journal of Economics, Springer, vol. 119(1), pages 65-90, September.
    13. Wunscher, Tobias & Engel, Stefanie & Wunder, Sven, 2011. "Practical Alternatives to Estimate Opportunity Costs of Forest Conservation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115774, European Association of Agricultural Economists.
    14. van Groenendaal, Willem J. H., 1995. "Assessing demand when introducing a new fuel : Natural gas on Java," Energy Economics, Elsevier, vol. 17(2), pages 147-161, April.
    15. Mazzocco, Michael A. & Eales, James S., 1987. "Estimating Factor Demands for Iltinois Cash Grain Farms: Differences Between Profitable and Unprofitable Farms," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269945, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. McDonald, John & Snooks, G. D., 1986. "Domesday Economy: A New Approach to Anglo-Norman History," OUP Catalogue, Oxford University Press, number 9780198285243.
    17. Emili GRIFELL‐TATJÉ & Kristiaan KERSTENS, 2008. "Incentive Regulation And The Role Of Convexity In Benchmarking Electricity Distribution: Economists Versus Engineers," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(2), pages 227-248, June.
    18. LeBlanc, Michael & Hrubovcak, James, 1984. "An Analytical Framework For Examining Investment In Agriculture," Staff Reports 277581, United States Department of Agriculture, Economic Research Service.
    19. T. A. Bhavani & Suresh Tendulkar, 2001. "Determinants of firm-level export performance: a case study of Indian textile garments and apparel industry," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 10(1), pages 65-92.
    20. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:evarev:v:8:y:1984:i:6:p:777-800. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.