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    The first principal component of multifaceted variables: it's more than a G thing

    Jackson, Duncan and Putka, D.J. and Teoh, Kevin (2015) The first principal component of multifaceted variables: it's more than a G thing. Industrial and Organizational Psychology: Perspectives on Science and Practice 8 (03), pp. 446-452. ISSN 1754-9426.

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    Abstract

    Ree, Carretta, and Teachout (2015) raise the need for further investigation into dominant general factors (DGFs) and their prevalence in measures used for the purposes of employee selection, development, and performance measurement. They imply that a method of choice for estimating the contribution of DGFs is principal components analysis (PCA), and they interpret the variance accounted for by the first component of the PCA solution as indicative of the contribution of a general factor. In this response, we illustrate the hazard of equating the first component of a PCA with a general factor, and we illustrate how this becomes particularly problematic when applying PCA to multifaceted variables. Rather than simply critique this use of PCA, we offer an alternative approach that helps to address and illustrate the problem that we raise.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Organizational Psychology
    Depositing User: Duncan Jackson
    Date Deposited: 10 Feb 2016 14:16
    Last Modified: 10 Feb 2016 14:16
    URI: http://eprints.bbk.ac.uk/id/eprint/14093

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