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MSA: The Forgotten Index for Identifying Inappropriate Items Before Computing Exploratory Item Factor Analysis

  • Dades identificatives

    Identificador: imarina:9243291
    Autors:
    Lorenzo-Seva, UrbanoFerrando, Pere J
    Resum:
    Kaiser's single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before a factor analysis (FA) solution is fittedto an item-pool dataset for item selection purposes. For reasons discussed in the article, however, MSA is hardly used nowadays in this context. In our view, this is unfortunate. In the present proposal, we firstdiscuss the foundation and rationale of MSA from a 'modern' FA view, as well as its usefulness in the item selection process. Second, we embed the index within a robust approach and propose improvements in the preliminary item selection process. Third, we implement the proposal in different statistical programs. Finally, we illustrate its use and advantages with an empirical example in personality measurement.
  • Altres:

    Autor segons l'article: Lorenzo-Seva, Urbano; Ferrando, Pere J
    Departament: Psicologia
    Autor/s de la URV: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano
    Paraules clau: Spss Sample splitting Replication R Msa Kmo index Item selection Item discrimination Exploratory item factor analysis spss sample splitting replication r kmo index item selection item discrimination exploratory item factor analysis
    Resum: Kaiser's single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before a factor analysis (FA) solution is fittedto an item-pool dataset for item selection purposes. For reasons discussed in the article, however, MSA is hardly used nowadays in this context. In our view, this is unfortunate. In the present proposal, we firstdiscuss the foundation and rationale of MSA from a 'modern' FA view, as well as its usefulness in the item selection process. Second, we embed the index within a robust approach and propose improvements in the preliminary item selection process. Third, we implement the proposal in different statistical programs. Finally, we illustrate its use and advantages with an empirical example in personality measurement.
    Àrees temàtiques: Social sciences, mathematical methods Social sciences (miscellaneous) Social sciences (all) Psychology, mathematical Psychology (miscellaneous) Psychology (all) Psicología General social sciences General psychology Ciencias sociales
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: urbano.lorenzo@urv.cat perejoan.ferrando@urv.cat
    Identificador de l'autor: 0000-0001-5369-3099 0000-0002-3133-5466
    Data d'alta del registre: 2024-10-12
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://meth.psychopen.eu/index.php/meth/article/view/7185
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences. 17 (4): 296-306
    Referència de l'ítem segons les normes APA: Lorenzo-Seva, Urbano; Ferrando, Pere J (2021). MSA: The Forgotten Index for Identifying Inappropriate Items Before Computing Exploratory Item Factor Analysis. Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences, 17(4), 296-306. DOI: 10.5964/meth.7185
    DOI de l'article: 10.5964/meth.7185
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Psychology (Miscellaneous),Psychology, Mathematical,Social Sciences (Miscellaneous),Social Sciences, Mathematical Methods
    Spss
    Sample splitting
    Replication
    R
    Msa
    Kmo index
    Item selection
    Item discrimination
    Exploratory item factor analysis
    spss
    sample splitting
    replication
    r
    kmo index
    item selection
    item discrimination
    exploratory item factor analysis
    Social sciences, mathematical methods
    Social sciences (miscellaneous)
    Social sciences (all)
    Psychology, mathematical
    Psychology (miscellaneous)
    Psychology (all)
    Psicología
    General social sciences
    General psychology
    Ciencias sociales
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