IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v66y2018icp64-71.html
   My bibliography  Save this article

Speeded testing in the assessment of intelligence gives rise to a speed factor

Author

Listed:
  • Ren, Xuezhu
  • Wang, Tengfei
  • Sun, Sumin
  • Deng, Mi
  • Schweizer, Karl

Abstract

This paper reports an investigation of whether data on intelligence obtained by speeded testing have to be represented in confirmatory factor analysis (CFA) by an additional factor besides the ability factor, and whether the additional factor can be identified as a speed factor. The paper further examined whether the hypothesized speed factor influences the relationship between intelligence and working memory. Two independent datasets including data obtained by speeded intelligence testing, measures of processing speed and of working memory were investigated by means of CFA. A hybrid bifactor model was employed to represent the hypothesized speed and the ability factor of the intelligence data. Whereas the factor loadings for representing ability were set free for estimation, the factor loadings for representing speed were constrained according to theory-based expectations. The results showed that a speed factor is necessary for achieving a good fit to the data with speeded testing. The convergent validity of the speed factor was shown by data on measures of processing speed. Furthermore, it turned out that the consideration of the latent speed factor led to a decrease of the correlation between intelligence and working memory. These results suggest that speeded testing influences the assessment of intelligence and may also bias empirical findings regarding the relationships between intelligence and other constructs.

Suggested Citation

  • Ren, Xuezhu & Wang, Tengfei & Sun, Sumin & Deng, Mi & Schweizer, Karl, 2018. "Speeded testing in the assessment of intelligence gives rise to a speed factor," Intelligence, Elsevier, vol. 66(C), pages 64-71.
    • Handle: RePEc:eee:intell:v:66:y:2018:i:c:p:64-71
    DOI: 10.1016/j.intell.2017.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289617301630
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2017.11.004?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. Jastrzębski, Jan & Ociepka, Michał & Chuderski, Adam, 2020. "Fluid reasoning is equivalent to relation processing," Intelligence, Elsevier, vol. 82(C).
    2. Borter, Natalie & Troche, Stefan J. & Rammsayer, Thomas H., 2018. "Speed- and accuracy-related measures of an intelligence test are differentially predicted by the speed and accuracy measures of a cognitive task," Intelligence, Elsevier, vol. 71(C), pages 1-7.
    3. Must, Olev & Must, Aasa, 2018. "Speed and the Flynn Effect," Intelligence, Elsevier, vol. 68(C), pages 37-47.
    4. Gignac, Gilles E. & Bartulovich, Asher & Salleo, Emilee, 2019. "Maximum effort may not be required for valid intelligence test score interpretations," Intelligence, Elsevier, vol. 75(C), pages 73-84.

    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:eee:intell:v:66:y:2018:i:c:p:64-71. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    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.