Articles producció científica> Psicologia

Exploratory factor analysis in transportation research: Current practices and recommendations

  • Datos identificativos

    Identificador: imarina:9216724
    Autores:
    Ledesma, Ruben DFerrando, Pere JTrogolo, Mario APoo, Fernando MTosi, Jeremias DCastro, Candida
    Resumen:
    Exploratory factor analysis (EFA) is a widely used statistical method in traffic and transportation research, particularly for the development and validation of measurement instruments. This article critically examines current practices in conducting and reporting EFA in published transportation studies. One hundred and eighty papers published between 2016 and 2018 were examined, of which eighty-two were included in the present study after applying eligibility criteria. The review suggests that the quality of EFA reported in the field is routinely poor: (a) researchers fail to provide sufficient information to be able to adequately assess the appropriateness and quality of both the input data and the reported output; and (b) the decisions underlying the choices of EFA methods are not justified and rely mostly on procedures advised against, particularly the Little-Jiffy approach. In summary, a significant gap between current practice and experts & rsquo; recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research. (c) 2021 Elsevier Ltd. All rights reserved.
  • Otros:

    Autor según el artículo: Ledesma, Ruben D; Ferrando, Pere J; Trogolo, Mario A; Poo, Fernando M; Tosi, Jeremias D; Castro, Candida
    Departamento: Psicologia
    Autor/es de la URV: Ferrando Piera, Pere Joan
    Palabras clave: Transportation research Transportation Traffic and transportation Sample-size Research methods Program Number Multivariate analysis Multivariant analysis Measurement instruments Matrix Item factor-analysis Inventory Input datas Factor analysis Exploratory factor analysis (efa) Exploratory factor analysis Errors Eligibility criterion Current practices Confirmatory factor-analysis Components Analytic rotation
    Resumen: Exploratory factor analysis (EFA) is a widely used statistical method in traffic and transportation research, particularly for the development and validation of measurement instruments. This article critically examines current practices in conducting and reporting EFA in published transportation studies. One hundred and eighty papers published between 2016 and 2018 were examined, of which eighty-two were included in the present study after applying eligibility criteria. The review suggests that the quality of EFA reported in the field is routinely poor: (a) researchers fail to provide sufficient information to be able to adequately assess the appropriateness and quality of both the input data and the reported output; and (b) the decisions underlying the choices of EFA methods are not justified and rely mostly on procedures advised against, particularly the Little-Jiffy approach. In summary, a significant gap between current practice and experts & rsquo; recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research. (c) 2021 Elsevier Ltd. All rights reserved.
    Áreas temáticas: Transportation Psychology, applied Psychology Psicología Planejamento urbano e regional / demografia Engenharias i Economia Civil and structural engineering Ciencias sociales Automotive engineering Applied psychology
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: perejoan.ferrando@urv.cat
    Identificador del autor: 0000-0002-3133-5466
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S136984782100053X
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Transportation Research Part F-Traffic Psychology And Behaviour. 78 340-352
    Referencia de l'ítem segons les normes APA: Ledesma, Ruben D; Ferrando, Pere J; Trogolo, Mario A; Poo, Fernando M; Tosi, Jeremias D; Castro, Candida (2021). Exploratory factor analysis in transportation research: Current practices and recommendations. Transportation Research Part F-Traffic Psychology And Behaviour, 78(), 340-352. DOI: 10.1016/j.trf.2021.02.021
    DOI del artículo: 10.1016/j.trf.2021.02.021
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Applied Psychology,Automotive Engineering,Civil and Structural Engineering,Psychology, Applied,Transportation
    Transportation research
    Transportation
    Traffic and transportation
    Sample-size
    Research methods
    Program
    Number
    Multivariate analysis
    Multivariant analysis
    Measurement instruments
    Matrix
    Item factor-analysis
    Inventory
    Input datas
    Factor analysis
    Exploratory factor analysis (efa)
    Exploratory factor analysis
    Errors
    Eligibility criterion
    Current practices
    Confirmatory factor-analysis
    Components
    Analytic rotation
    Transportation
    Psychology, applied
    Psychology
    Psicología
    Planejamento urbano e regional / demografia
    Engenharias i
    Economia
    Civil and structural engineering
    Ciencias sociales
    Automotive engineering
    Applied psychology
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