IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v35y2005i2p140-151.html
   My bibliography  Save this article

Developing and Assembling the Law School Admission Test

Author

Listed:
  • Ronald Armstrong

    (Rutgers Business School, Rutgers University, 180 University Avenue, Newark, New Jersey 07102-1895)

  • Dmitry Belov

    (Psychometric Research Group, Law School Admission Council, 662 Penn Street, Box 40, Newtown, Pennsylvania 18940-0040)

  • Alexander Weissman

    (Psychometric Research Group, Law School Admission Council, 662 Penn Street, Box 40, Newtown, Pennsylvania 18940-0040)

Abstract

Standardized tests are useful for assessing an individual’s potential to succeed in various endeavors. In addition, institutions use them to measure student achievement and to measure the efficacy of pedagogical approaches. Operations research tools can help those developing rigorous standardized tests. Our mixed-integer program (MIP) provides a model for assembling forms for the Law School Admission Test (LSAT). Since 2002, our LSAT assembler—software we developed using a Monte Carlo approach—has produced test forms meeting all specifications. This software has saved thousands of hours of personnel time.

Suggested Citation

  • Ronald Armstrong & Dmitry Belov & Alexander Weissman, 2005. "Developing and Assembling the Law School Admission Test," Interfaces, INFORMS, vol. 35(2), pages 140-151, April.
    • Handle: RePEc:inm:orinte:v:35:y:2005:i:2:p:140-151
    DOI: 10.1287/inte.1040.0123
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.1040.0123
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.1040.0123?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. T. Theunissen, 1985. "Binary programming and test design," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 411-420, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Armstrong, Ronald D. & Kung, Mabel T. & Roussos, Louis A., 2010. "Determining targets for multi-stage adaptive tests using integer programming," European Journal of Operational Research, Elsevier, vol. 205(3), pages 709-718, September.
    2. Bernard Veldkamp, 2013. "Application of robust optimization to automated test assembly," Annals of Operations Research, Springer, vol. 206(1), pages 595-610, July.

    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. Zheng-Yun Zhuang & Chi-Kit Ho & Paul Juinn Bing Tan & Jia-Ming Ying & Jin-Hua Chen, 2020. "The Optimal Setting of A/B Exam Papers without Item Pools: A Hybrid Approach of IRT and BGP," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    2. Wim Linden & Ellen Boekkooi-Timminga, 1989. "A maximin model for IRT-based test design with practical constraints," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 237-247, June.
    3. P. Sanders & T. Theunissen & S. Baas, 1991. "Maximizing the coefficient of generalizability under the constraint of limited resources," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 87-96, March.
    4. Wim Linden & Richard Luecht, 1998. "Observed-score equating as a test assembly problem," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 401-418, December.
    5. Henk Kelderman & Carl Rijkes, 1994. "Loglinear multidimensional IRT models for polytomously scored items," Psychometrika, Springer;The Psychometric Society, vol. 59(2), pages 149-176, June.
    6. 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.
    7. Edmonds, Jennifer & Armstrong, Ronald, 2009. "A mixed integer programming model for multiple stage adaptive testing," European Journal of Operational Research, Elsevier, vol. 193(2), pages 342-350, March.
    8. Bernard Veldkamp, 2013. "Application of robust optimization to automated test assembly," Annals of Operations Research, Springer, vol. 206(1), pages 595-610, July.
    9. T. Jefferson & J. May & N. Ravi, 1989. "An entropy approach to the scaling of ordinal categorical data," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 203-215, June.
    10. Dmitry Belov, 2008. "Uniform Test Assembly," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 21-38, March.
    11. Martijn Berger & C. Joy King & Weng Wong, 2000. "Minimax d-optimal designs for item response theory models," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 377-390, September.
    12. P. Sanders & T. Theunissen & S. Baas, 1989. "Minimizing the number of observations: A generalization of the spearman-brown formula," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 587-598, September.

    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:orinte:v:35:y:2005:i:2:p:140-151. 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: 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.