IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v33y1968i3p351-381.html
   My bibliography  Save this article

A unified treatment of the weighting problem

Author

Listed:
  • Roderick McDonald

Abstract

No abstract is available for this item.

Suggested Citation

  • Roderick McDonald, 1968. "A unified treatment of the weighting problem," Psychometrika, Springer;The Psychometric Society, vol. 33(3), pages 351-381, September.
  • Handle: RePEc:spr:psycho:v:33:y:1968:i:3:p:351-381
    DOI: 10.1007/BF02289330
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02289330
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02289330?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. Chester Harris, 1962. "Some rao-guttman relationships," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 247-263, September.
    2. Louis Guttman, 1953. "Image theory for the structure of quantitative variates," Psychometrika, Springer;The Psychometric Society, vol. 18(4), pages 277-296, December.
    3. Frederic Lord, 1958. "Some relations between guttman's principal components of scale analysis and other psychometric theory," Psychometrika, Springer;The Psychometric Society, vol. 23(4), pages 291-296, 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. Roderick McDonald & Yukihiko Torii & Shizuhiko Nishisato, 1979. "Some results on proper eigenvalues and eigenvectors with applications to scaling," Psychometrika, Springer;The Psychometric Society, vol. 44(2), pages 211-227, June.
    2. Roderick McDonald, 1986. "Describing the elephant: Structure and function in multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 513-534, December.
    3. Shizuhiko Nishisato & Wen-Jenn Sheu, 1980. "Piecewise method of reciprocal averages for dual scaling of multiple-choice data," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 467-478, December.
    4. Michel Tenenhaus & Forrest Young, 1985. "An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 91-119, March.
    5. Henk Kiers, 1995. "Maximization of sums of quotients of quadratic forms and some generalizations," Psychometrika, Springer;The Psychometric Society, vol. 60(2), pages 221-245, June.
    6. Roderick McDonald, 1983. "Alternative weights and invariant parameters in optimal scaling," Psychometrika, Springer;The Psychometric Society, vol. 48(3), pages 377-391, September.
    7. 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.
    8. 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.
    9. Roderick McDonald, 1970. "Three common factor models for groups of variables," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 111-128, March.
    10. Shizuhiko Nishisato, 1984. "Forced classification: A simple application of a quantification method," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 25-36, March.
    11. Michel Tenenhaus & Arthur Tenenhaus & Patrick J. F. Groenen, 2017. "Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 737-777, September.
    12. Shizuhiko Nishisato, 1996. "Gleaning in the field of dual scaling," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 559-599, 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. Roderick McDonald, 1970. "Three common factor models for groups of variables," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 111-128, March.
    2. Olgierd Porebski, 1968. "A semi-orthogonal dependent factor solution," Psychometrika, Springer;The Psychometric Society, vol. 33(4), pages 451-468, December.
    3. Ledyard Tucker & Raymond Koopman & Robert Linn, 1969. "Evaluation of factor analytic research procedures by means of simulated correlation matrices," Psychometrika, Springer;The Psychometric Society, vol. 34(4), pages 421-459, December.
    4. K. Jöreskog, 1969. "Efficient estimation in image factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 34(1), pages 51-75, March.
    5. Alfred Hunter, 1972. "Factorial ecology: A critique and some suggestions," Demography, Springer;Population Association of America (PAA), vol. 9(1), pages 107-117, February.
    6. William Meredith & Roger Millsap, 1985. "On component analyses," Psychometrika, Springer;The Psychometric Society, vol. 50(4), pages 495-507, December.
    7. Stanley Mulaik, 1986. "Factor analysis and Psychometrika: Major developments," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 23-33, March.
    8. Michael Browne & Walter Kristof, 1969. "On the oblique rotation of a factor matrix to a specified pattern," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 237-248, June.
    9. Stanley Mulaik & Roderick McDonald, 1978. "The effect of additional variables on factor indeterminacy in models with a single common factor," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 177-192, June.
    10. Roger Millsap & William Meredith, 1988. "Component analysis in cross-sectional and longitudinal data," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 123-134, March.
    11. Roderick McDonald, 1986. "Describing the elephant: Structure and function in multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 513-534, December.
    12. Vernon Greene, 1978. "Simultaneous optimization of factor assessibility and representativeness," Psychometrika, Springer;The Psychometric Society, vol. 43(2), pages 273-275, June.
    13. Henry Kaiser & John Caffrey, 1965. "Alpha factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(1), pages 1-14, March.
    14. Peter Findeisen, 1979. "Convergence theory for partial images and revision of the definition of total images," Psychometrika, Springer;The Psychometric Society, vol. 44(3), pages 315-328, September.
    15. Henry Kaiser, 1976. "Image and anti-image covariance matrices from a correlation matrix that may be singular," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 295-300, September.
    16. David Steinmayr & Doris Weichselbaumer & Rudolf Winter-Ebmer, 2020. "Gender Differences in Active Ageing: Findings from a New Individual-Level Index for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(2), pages 691-721, September.
    17. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    18. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
    19. William Meredith, 1977. "On weighted procrustes and hyperplane fitting in factor analytic rotation," Psychometrika, Springer;The Psychometric Society, vol. 42(4), pages 491-522, December.
    20. W. Hemmerle, 1965. "Obtaining maximum-likelihood estimates of factor loadings and communalities using an easily implemented iterative computer procedure," Psychometrika, Springer;The Psychometric Society, vol. 30(3), pages 291-302, September.

    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:spr:psycho:v:33:y:1968:i:3:p:351-381. 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.