IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v19y1973i8p961-966.html
   My bibliography  Save this article

A Mathematical Programming Model for Test Construction and Scoring

Author

Listed:
  • Martin Feuerman

    (New Jersey Medical School, Newark, New Jersey)

  • Harvey Weiss

    (Norwalk Community College, Norwalk, Connecticut)

Abstract

A method is presented for test construction and scoring which utilizes the knapsack model of mathematical programming. The method applies to examinations of the type in which a choice exists in the number of questions the examinee is required to answer. The method has been utilized with respect to a Mathematics examination and computer generated results of this test are provided.

Suggested Citation

  • Martin Feuerman & Harvey Weiss, 1973. "A Mathematical Programming Model for Test Construction and Scoring," Management Science, INFORMS, vol. 19(8), pages 961-966, April.
    • Handle: RePEc:inm:ormnsc:v:19:y:1973:i:8:p:961-966
    DOI: 10.1287/mnsc.19.8.961
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.19.8.961
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.19.8.961?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ronald Armstrong & Douglas Jones & Ing-Long Wu, 1992. "An automated test development of parallel tests from a seed test," Psychometrika, Springer;The Psychometric Society, vol. 57(2), pages 271-288, June.
    2. Teresa Estañ & Natividad Llorca & Ricardo Martínez & Joaquín Sánchez-Soriano, 2021. "On the Difficulty of Budget Allocation in Claims Problems with Indivisible Items and Prices," Group Decision and Negotiation, Springer, vol. 30(5), pages 1133-1159, October.
    3. Stefka Fidanova & Krassimir Todorov Atanassov, 2021. "ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem," Mathematics, MDPI, vol. 9(13), pages 1-7, June.
    4. Teresa Estañ & Natividad Llorca & Ricardo Martínez & Joaquín Sánchez-Soriano, 2020. "On the difficulty of budget allocation in claims problems with indivisible items of different prices," ThE Papers 20/09, Department of Economic Theory and Economic History of the University of Granada..

    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:inm:ormnsc:v:19:y:1973:i:8:p:961-966. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.