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SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis

  • Identification data

    Identifier: imarina:9241955
    Authors:
    Lorenzo-Seva, Urbano
    Abstract:
    Nowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.
  • Others:

    Author, as appears in the article.: Lorenzo-Seva, Urbano;
    Department: Psicologia
    URV's Author/s: Lorenzo Seva, Urbano
    Keywords: Validation Spss Spanish adaptation Simulation Scale Sample splitting Replication R Psychometric properties Kmo index Exploratory research Exploratory factor-analysis Exploratory factor analysis Duplex method Data analysis software Confirmatory factor analysis Article
    Abstract: Nowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.
    Thematic Areas: Psychology, mathematical Psychology, experimental Psychology (miscellaneous) Psychology (all) Psychology Psicología Medicina ii General psychology Experimental and cognitive psychology Enfermagem Educação física Developmental and educational psychology Ciencias sociales Ciencias humanas Ciências biológicas ii Arts and humanities (miscellaneous)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: urbano.lorenzo@urv.cat
    Author identifier: 0000-0001-5369-3099
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.3758/s13428-021-01750-y
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Behavior Research Methods. 54 (6): 2665-2677
    APA: Lorenzo-Seva, Urbano; (2022). SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis. Behavior Research Methods, 54(6), 2665-2677. DOI: 10.3758/s13428-021-01750-y
    Article's DOI: 10.3758/s13428-021-01750-y
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Arts and Humanities (Miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology,Psychology (Miscellaneous),Psychology, Experimental,Psychology, Mathematical
    Validation
    Spss
    Spanish adaptation
    Simulation
    Scale
    Sample splitting
    Replication
    R
    Psychometric properties
    Kmo index
    Exploratory research
    Exploratory factor-analysis
    Exploratory factor analysis
    Duplex method
    Data analysis software
    Confirmatory factor analysis
    Article
    Psychology, mathematical
    Psychology, experimental
    Psychology (miscellaneous)
    Psychology (all)
    Psychology
    Psicología
    Medicina ii
    General psychology
    Experimental and cognitive psychology
    Enfermagem
    Educação física
    Developmental and educational psychology
    Ciencias sociales
    Ciencias humanas
    Ciências biológicas ii
    Arts and humanities (miscellaneous)
  • Documents:

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