IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v6y1941i2p67-77.html
   My bibliography  Save this article

The difficulty of a test and its factor composition

Author

Listed:
  • J. Guilford

Abstract

No abstract is available for this item.

Suggested Citation

  • J. Guilford, 1941. "The difficulty of a test and its factor composition," Psychometrika, Springer;The Psychometric Society, vol. 6(2), pages 67-77, April.
    • Handle: RePEc:spr:psycho:v:6:y:1941:i:2:p:67-77
    DOI: 10.1007/BF02292175
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02292175
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02292175?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.

    Citations

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


    Cited by:

    1. W. Gibson, 1967. "A latent structure for the simplex," Psychometrika, Springer;The Psychometric Society, vol. 32(1), pages 35-46, March.
    2. W. Gibson, 1959. "Three multivariate models: Factor analysis, latent structure analysis, and latent profile analysis," Psychometrika, Springer;The Psychometric Society, vol. 24(3), pages 229-252, September.
    3. Karl Schweizer & Siegbert Reiß, 2019. "On the Contextual Conditions Driving a Difficulty Factor," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 8(5), pages 1-12, September.
    4. Stephen Schilling & R. Bock, 2005. "High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 533-555, September.
    5. John Carroll, 1961. "The nature of the data, or how to choose a correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 26(4), pages 347-372, December.

    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:6:y:1941:i:2:p:67-77. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.