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Data of simulation study for preliminary detection of problematic items in item factor analysis

  • Identification data

    Identifier: PC:3833
    Handle: https://hdl.handle.net/20.500.11797/PC3833
    Authors:
    Ferrando, Pere J.Lorenzo-Seva, UrbanoBargalló-Escrivà, M. Teresa
    Abstract:
    It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected. Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis (2023-06-15)

  • Others:

    Subject matter: Social Sciences
    Access rights: info:eu-repo/semantics/openAccess
    Researcher identifier: 0000-0002-3133-5466;0000-0001-5369-3099;0000-0003-0880-8920
    Published by (editorial): Universitat Rovira i Virgili
    Related publications: Ferrando PJ, Lorenzo-Seva U, Bargalló-Escrivà MT (2023) Gulliksen’s pool: A quick tool for preliminary detection of problematic items in item factor analysis. PLoS ONE 18(8): e0290611.
    Abstract: It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected. Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis (2023-06-15)
    Departament: Psicologia
    DOI: 10.34810/data759
    Document type: info:eu-repo/semantics/other
    Repository ingest date: 2023-06-18
    Author: Ferrando, Pere J.;Lorenzo-Seva, Urbano;Bargalló-Escrivà, M. Teresa
    Keywords: Factor analysis (MeSH);Efficiency (MeSH);Análisis factorial (Unesco thesaurus)
    Dataset publication year: 2023
    Funding program action: Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación (AEI), the European Regional Development Fund (ERDF): PID2020-112894GB-I00
    Dataset title: Data of simulation study for preliminary detection of problematic items in item factor analysis

  • Keywords:

    Social Sciences
    Factor analysis (MeSH);Efficiency (MeSH);Análisis factorial (Unesco thesaurus)

  • Documents:

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