IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v29y1964i1p67-73.html
   My bibliography  Save this article

Mean performance and the factor analysis of learning data

Author

Listed:
  • John Ross

Abstract

No abstract is available for this item.

Suggested Citation

  • John Ross, 1964. "Mean performance and the factor analysis of learning data," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 67-73, March.
    • Handle: RePEc:spr:psycho:v:29:y:1964:i:1:p:67-73
    DOI: 10.1007/BF02289568
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02289568
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02289568?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. Norman Cliff, 1962. "Analytic rotation to a functional relationship," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 283-295, September.
    2. Ledyard Tucker, 1958. "Determination of parameters of a functional relation by factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(1), pages 19-23, March.
    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. M. Corballis, 1971. "Comparison of ranks of cross-product and covariance solutions in component analysis," Psychometrika, Springer;The Psychometric Society, vol. 36(3), pages 243-249, September.

    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. Eldad Davidov & Stefan Thörner & Peter Schmidt & Stefanie Gosen & Carina Wolf, 2011. "Level and change of group-focused enmity in Germany: unconditional and conditional latent growth curve models with four panel waves," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 481-500, December.
    2. James Arbuckle & Michael Friendly, 1977. "On rotating to smooth functions," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 127-140, March.
    3. R. Weitzman, 1963. "A factor analytic method for investigating differences between groups of individual learning curves," Psychometrika, Springer;The Psychometric Society, vol. 28(1), pages 69-80, March.
    4. Shang, Han Lin & Kearney, Fearghal, 2022. "Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1025-1049.
    5. Guido Alessandri & Michele Vecchione & Brent Donnellan & John Tisak, 2013. "An Application of the LC-LSTM Framework to the Self-esteem Instability Case," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 769-792, October.
    6. Kenneth A. Bollen & Patrick J. Curran, 2004. "Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions," Sociological Methods & Research, , vol. 32(3), pages 336-383, February.
    7. Lance, Charles E. & Vandenberg, Robert J. & Self, Robin M., 2000. "Latent Growth Models of Individual Change: The Case of Newcomer Adjustment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 107-140, September.
    8. Han Shang, 2014. "A survey of functional principal component analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(2), pages 121-142, April.
    9. Pennoni, Fulvia & Romeo, Isabella, 2016. "Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison," MPRA Paper 72939, University Library of Munich, Germany.
    10. Ledyard Tucker & Samuel Messick, 1963. "An individual differences model for multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 28(4), pages 333-367, December.
    11. Marc J. M. H. Delsing & Johan H. L. Oud, 2008. "Analyzing reciprocal relationships by means of the continuous‐time autoregressive latent trajectory model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(1), pages 58-82, February.
    12. Philippe Besse & J. Ramsay, 1986. "Principal components analysis of sampled functions," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 285-311, June.
    13. Jost Reinecke & Daniel Seddig, 2011. "Growth mixture models in longitudinal research," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 415-434, December.
    14. Natasha Zhang Foutz & Wolfgang Jank, 2010. "Research Note—Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets," Marketing Science, INFORMS, vol. 29(3), pages 568-579, 05-06.
    15. Nkafu Anumendem & Bieke De Fraine & Patrick Onghena & Jan Van Damme, 2013. "The impact of coding time on the estimation of school effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1021-1040, February.
    16. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    17. Jeffrey R. Harring, 2009. "A Nonlinear Mixed Effects Model for Latent Variables," Journal of Educational and Behavioral Statistics, , vol. 34(3), pages 293-318, September.
    18. John Ross, 1966. "A remark on tucker and Messick's “points of view” analysis," Psychometrika, Springer;The Psychometric Society, vol. 31(1), pages 27-31, March.
    19. Chen, Yushun & Lin, Lian-Shin, 2010. "Structural equation-based latent growth curve modeling of watershed attribute-regulated stream sensitivity to reduced acidic deposition," Ecological Modelling, Elsevier, vol. 221(17), pages 2086-2094.
    20. Norman Cliff, 1968. "The “idealized individual” interpretation of individual differences in multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 33(2), pages 225-232, June.

    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:29:y:1964:i:1:p:67-73. 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.