IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v54y1989i2p203-215.html
   My bibliography  Save this article

An entropy approach to the scaling of ordinal categorical data

Author

Listed:
  • T. Jefferson
  • J. May
  • N. Ravi

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:psycho:v:54:y:1989:i:2:p:203-215
    DOI: 10.1007/BF02294515
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294515
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294515?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shizuhiko Nishisato, 1984. "Forced classification: A simple application of a quantification method," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 25-36, March.
    2. Shizuhiko Zishisato, 1984. "Forced classification: A simple application of a quantification method," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 437-437, September.
    3. R. Bradley & S. Katti & Irma Coons, 1962. "Optimal scaling for ordered categories," Psychometrika, Springer;The Psychometric Society, vol. 27(4), pages 355-374, December.
    4. T. Theunissen, 1985. "Binary programming and test design," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 411-420, December.
    5. Gerhard Fischer, 1981. "On the existence and uniqueness of maximum-likelihood estimates in the Rasch model," Psychometrika, Springer;The Psychometric Society, vol. 46(1), pages 59-77, March.
    6. Shizuhiko Nishisato & P. Arri, 1975. "Nonlinear programming approach to optimal scaling of partially ordered categories," Psychometrika, Springer;The Psychometric Society, vol. 40(4), pages 525-548, December.
    7. Shizuhiko Nishisato, 1978. "Optimal scaling of paired comparison and rank order data: An alternative to guttman's formulation," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 263-271, June.
    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. Shizuhiko Nishisato & Wen-Jenn Sheu, 1984. "A note on dual scaling of successive categories data," Psychometrika, Springer;The Psychometric Society, vol. 49(4), pages 493-500, December.
    2. Shizuhiko Nishisato, 1984. "Forced classification: A simple application of a quantification method," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 25-36, March.
    3. Shizuhiko Nishisato, 1996. "Gleaning in the field of dual scaling," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 559-599, December.
    4. Michael Windham & J. Hutchinson & Shizuhiko Nishisato & Ludovic Lebart & George Furnas & Richard Dubes & Frank Critchley & A. Gordon & Fionn Murtagh & Ulf Bockenholt & Philip Hopke & Daniel Wartenberg, 1988. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 105-154, March.
    5. V. Choulakian, 2008. "Taxicab Correspondence Analysis of Contingency Tables with One Heavyweight Column," Psychometrika, Springer;The Psychometric Society, vol. 73(2), pages 309-319, June.
    6. Stef Buuren & Willem Heiser, 1989. "Clusteringn objects intok groups under optimal scaling of variables," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 699-706, September.
    7. Takayuki Saito & Tatsuo Otsu, 1988. "A method of optimal scaling for multivariate ordinal data and its extensions," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 5-25, March.
    8. Ehtibar Dzhafarov & Hans Colonius, 2006. "Reconstructing Distances among Objects from Their Discriminability," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 365-386, June.
    9. Jiannan Lu & Peng Ding & Tirthankar Dasgupta, 2018. "Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds," Journal of Educational and Behavioral Statistics, , vol. 43(5), pages 540-567, October.
    10. Lombardo, R. & Beh, E.J. & D'Ambra, L., 2007. "Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 566-577, September.
    11. Cees Glas, 1988. "The derivation of some tests for the rasch model from the multinomial distribution," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 525-546, December.
    12. Ferreira, Priscila & Taylor, Mark, 2011. "Measuring match quality using subjective data," Economics Letters, Elsevier, vol. 113(3), pages 304-306.
    13. Antonello D’Ambra & Pietro Amenta & Anna Crisci & Antonio Lucadamo, 2022. "The generalized Taguchi’s statistic: a passenger satisfaction evaluation," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 41-60, April.
    14. Gerhard Fischer, 1983. "Logistic latent trait models with linear constraints," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 3-26, March.
    15. Albert Yu & Jeffrey A. Douglas, 2023. "IRT Models for Learning With Item-Specific Learning Parameters," Journal of Educational and Behavioral Statistics, , vol. 48(6), pages 866-888, December.
    16. L. D’Ambra & R. Lombardo & P. Amenta, 2000. "Multivariate co-inertia analysis for qualitative data by partial least squares," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 9(1), pages 23-37, January.
    17. A. Fielding, 1993. "Scoring functions for ordered classifications in statistical analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(1), pages 1-17, February.
    18. Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    19. 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.
    20. Bernard Veldkamp, 2013. "Application of robust optimization to automated test assembly," Annals of Operations Research, Springer, vol. 206(1), pages 595-610, July.

    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:spr:psycho:v:54:y:1989:i:2:p:203-215. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.