Articles producció científica> Psicologia

On the Added Value of Multiple Factor Score Estimates in Essentially Unidimensional Models

  • Identification data

    Identifier: PC:3329
    Authors:
    Pere J. FerrandoUrbano Lorenzo-Seva
    Abstract:
    Measures initially designed to be single-trait often yield data that are compatible with both an essentially unidimensional factor-analysis (FA) solution and a correlatedfactors solution. For these cases, this article proposes an approach aimed at providing information for deciding which of the two solutions is the most appropriate and useful. The procedures we propose are an FA extension of the ‘‘added-value’’ procedures initially proposed for subscale scores in educational testing. The basic principle is that the multiple FA solution is defensible when the factor score estimates of the primary factors are better measures of these factors than score estimates derived from a unidimensional or second-order solution. Methodologically, new results are obtained, and relations with factor indeterminacy measures and second-order FA are discussed. The procedures have been implemented in a noncommercial and widely known program for exploratory FA. The functioning of the proposal is assessed by means of a simulation study, and its usefulness is illustrated with a real-data example in the personality domain.
  • Others:

    Author, as appears in the article.: Pere J. Ferrando; Urbano Lorenzo-Seva
    Department: Psicologia
    URV's Author/s: FERRANDO PIERA, PERE JOAN; LORENZO SEVA, URBANO
    Abstract: Measures initially designed to be single-trait often yield data that are compatible with both an essentially unidimensional factor-analysis (FA) solution and a correlatedfactors solution. For these cases, this article proposes an approach aimed at providing information for deciding which of the two solutions is the most appropriate and useful. The procedures we propose are an FA extension of the ‘‘added-value’’ procedures initially proposed for subscale scores in educational testing. The basic principle is that the multiple FA solution is defensible when the factor score estimates of the primary factors are better measures of these factors than score estimates derived from a unidimensional or second-order solution. Methodologically, new results are obtained, and relations with factor indeterminacy measures and second-order FA are discussed. The procedures have been implemented in a noncommercial and widely known program for exploratory FA. The functioning of the proposal is assessed by means of a simulation study, and its usefulness is illustrated with a real-data example in the personality domain.
    Research group: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris
    Thematic Areas: Psicologia Psicología Psychology
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0013-1644
    Author identifier: 0000-0002-3133-5466; 0000-0001-5369-3099
    Record's date: 2018-09-18
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://journals.sagepub.com/doi/10.1177/0013164418773851
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1177/0013164418773851
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Article Artículo Article
  • Keywords:

    Anàlisi factorial
    Correlació (Estadística)
    Psicologia
    Psicología
    Psychology
    0013-1644
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