Exploratory factor analysis in transportation research: Current practices and recommendations.
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| Title: | Exploratory factor analysis in transportation research: Current practices and recommendations. |
|---|---|
| Authors: | Ledesma, Rubén D.1,2 (AUTHOR) rdledesma@conicet.gov.ar, Ferrando, Pere J.3 (AUTHOR), Trógolo, Mario A.1,4 (AUTHOR), Poó, Fernando M.1,2 (AUTHOR), Tosi, Jeremías D1,2 (AUTHOR), Castro, Cándida5 (AUTHOR) |
| Source: | Transportation Research: Part F. Apr2021, Vol. 78, p340-352. 13p. |
| Subjects: | Factor analysis, Exploratory factor analysis |
| Abstract: | • We critically examine current practice in conducting Exploratory Factor Analysis (EFA) in transportation studies. • A comprehensive overview of the main topics and choices involved in the EFA methodology is presented. • A significant gap between current practice and experts' recommendations was observed. • Guidelines for authors and reviewers are provided. 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' recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research. [ABSTRACT FROM AUTHOR] |
| Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 149840341 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploratory factor analysis in transportation research: Current practices and recommendations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ledesma%2C+Rubén+D%2E%22">Ledesma, Rubén D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rdledesma@conicet.gov.ar</i><br /><searchLink fieldCode="AR" term="%22Ferrando%2C+Pere+J%2E%22">Ferrando, Pere J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trógolo%2C+Mario+A%2E%22">Trógolo, Mario A.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poó%2C+Fernando+M%2E%22">Poó, Fernando M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tosi%2C+Jeremías+D%22">Tosi, Jeremías D</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Castro%2C+Cándida%22">Castro, Cándida</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Transportation+Research%3A+Part+F%22">Transportation Research: Part F</searchLink>. Apr2021, Vol. 78, p340-352. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Exploratory+factor+analysis%22">Exploratory factor analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • We critically examine current practice in conducting Exploratory Factor Analysis (EFA) in transportation studies. • A comprehensive overview of the main topics and choices involved in the EFA methodology is presented. • A significant gap between current practice and experts' recommendations was observed. • Guidelines for authors and reviewers are provided. 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' recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.trf.2021.02.021 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 340 Subjects: – SubjectFull: Factor analysis Type: general – SubjectFull: Exploratory factor analysis Type: general Titles: – TitleFull: Exploratory factor analysis in transportation research: Current practices and recommendations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ledesma, Rubén D. – PersonEntity: Name: NameFull: Ferrando, Pere J. – PersonEntity: Name: NameFull: Trógolo, Mario A. – PersonEntity: Name: NameFull: Poó, Fernando M. – PersonEntity: Name: NameFull: Tosi, Jeremías D – PersonEntity: Name: NameFull: Castro, Cándida IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 13698478 Numbering: – Type: volume Value: 78 Titles: – TitleFull: Transportation Research: Part F Type: main |
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