IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v43y1978i3p367-379.html
   My bibliography  Save this article

Multidimensional scaling of nominal data: The recovery of metric information with alscal

Author

Listed:
  • Forrest Young
  • Cynthia Null

Abstract

No abstract is available for this item.

Suggested Citation

  • Forrest Young & Cynthia Null, 1978. "Multidimensional scaling of nominal data: The recovery of metric information with alscal," Psychometrika, Springer;The Psychometric Society, vol. 43(3), pages 367-379, September.
    • Handle: RePEc:spr:psycho:v:43:y:1978:i:3:p:367-379
    DOI: 10.1007/BF02293646
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02293646
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02293646?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. Yoshio Takane & Forrest Young & Jan Leeuw, 1977. "Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 7-67, March.
    2. Peter Schönemann & Robert Carroll, 1970. "Fitting one matrix to another under choice of a central dilation and a rigid motion," Psychometrika, Springer;The Psychometric Society, vol. 35(2), pages 245-255, June.
    3. Ian Spence, 1972. "A monte carlo evaluation of three nonmetric multidimensional scaling algorithms," Psychometrika, Springer;The Psychometric Society, vol. 37(4), pages 461-486, December.
    4. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    5. Forrest Young, 1970. "Nonmetric multidimensional scaling: Recovery of metric information," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 455-473, 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. Richard Sands & Forrest Young, 1980. "Component models for three-way data: An alternating least squares algorithm with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 39-67, March.
    2. Forrest Young, 1981. "Quantitative analysis of qualitative data," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 357-388, December.

    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. Roger Girard & Norman Cliff, 1976. "A monte carlo evaluation of interactive multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 41(1), pages 43-64, March.
    2. Yoshio Takane & Forrest Young & Jan Leeuw, 1977. "Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 7-67, March.
    3. Malcolm Dow & Peter Willett & Roderick McDonald & Belver Griffith & Michael Greenacre & Peter Bryant & Daniel Wartenberg & Ove Frank, 1987. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 245-278, September.
    4. Pietro Lovaglio & Mario Mezzanzanica, 2013. "Classification of longitudinal career paths," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 989-1008, February.
    5. Groenen, Patrick J. F. & Franses, Philip Hans, 2000. "Visualizing time-varying correlations across stock markets," Journal of Empirical Finance, Elsevier, vol. 7(2), pages 155-172, August.
    6. A. Coxon & Charles Jones, 1980. "Multidimensional scaling: exploration to confirmation," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(1), pages 31-73, January.
    7. Duncan Fong & Wayne DeSarbo & Zhe Chen & Zhuying Xu, 2015. "A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1043-1065, December.
    8. J. Carroll, 1985. "Review," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 133-140, March.
    9. Ian Spence, 1972. "A monte carlo evaluation of three nonmetric multidimensional scaling algorithms," Psychometrika, Springer;The Psychometric Society, vol. 37(4), pages 461-486, December.
    10. Scott R. Rosas, 2017. "Multi-map comparison for group concept mapping: an approach for examining conceptual congruence through spatial correspondence," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2421-2439, November.
    11. Saburi, S. & Chino, N., 2008. "A maximum likelihood method for an asymmetric MDS model," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4673-4684, June.
    12. Groenen, P.J.F. & Borg, I., 2013. "The Past, Present, and Future of Multidimensional Scaling," Econometric Institute Research Papers EI 2013-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
    14. Groenen, P.J.F. & van de Velden, M., 2004. "Multidimensional scaling," Econometric Institute Research Papers EI 2004-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Rolf Langeheine, 1982. "Statistical evaluation of measures of fit in the Lingoes-Borg procrustean individual differences scaling," Psychometrika, Springer;The Psychometric Society, vol. 47(4), pages 427-442, December.
    16. Michael C. Hout & Corbin A. Cunningham & Arryn Robbins & Justin MacDonald, 2018. "Simulating the Fidelity of Data for Large Stimulus Set Sizes and Variable Dimension Estimation in Multidimensional Scaling," SAGE Open, , vol. 8(2), pages 21582440187, April.
    17. Richard Sands & Forrest Young, 1980. "Component models for three-way data: An alternating least squares algorithm with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 39-67, March.
    18. He, Jiayi & Shang, Pengjian & Xiong, Hui, 2018. "Multidimensional scaling analysis of financial time series based on modified cross-sample entropy methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 210-221.
    19. George Rabinowitz, 1976. "A procedure for ordering object pairs consistent with the multidimensional unfolding model," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 349-373, September.
    20. U.R. Orth & J. Turečková, 2002. "Segmenting the tourism market using perceptual and attitudinal mapping," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 48(1), pages 36-48.

    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:43:y:1978:i:3:p:367-379. 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.