Exploratory factor analysis in transportation research: Current practices and recommendations
•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 ob...
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Veröffentlicht in: | Transportation research. Part F, Traffic psychology and behaviour Traffic psychology and behaviour, 2021-04, Vol.78, p.340-352 |
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container_title | Transportation research. Part F, Traffic psychology and behaviour |
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creator | Ledesma, Rubén D. Ferrando, Pere J. Trógolo, Mario A. Poó, Fernando M. Tosi, Jeremías D Castro, Cándida |
description | •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. |
doi_str_mv | 10.1016/j.trf.2021.02.021 |
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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.</description><identifier>ISSN: 1369-8478</identifier><identifier>EISSN: 1873-5517</identifier><identifier>DOI: 10.1016/j.trf.2021.02.021</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Exploratory factor analysis ; Factor analysis ; Financial reporting ; Measuring instruments ; Multivariate analysis ; Quality assessment ; Quality of life ; Research methods ; Studies ; Transportation</subject><ispartof>Transportation research. Part F, Traffic psychology and behaviour, 2021-04, Vol.78, p.340-352</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Apr 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-7e5fbf268d9b7ba2c161283a736bc419341f857ec7007286c01add3b6c8a38f03</citedby><cites>FETCH-LOGICAL-c353t-7e5fbf268d9b7ba2c161283a736bc419341f857ec7007286c01add3b6c8a38f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S136984782100053X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Ledesma, Rubén D.</creatorcontrib><creatorcontrib>Ferrando, Pere J.</creatorcontrib><creatorcontrib>Trógolo, Mario A.</creatorcontrib><creatorcontrib>Poó, Fernando M.</creatorcontrib><creatorcontrib>Tosi, Jeremías D</creatorcontrib><creatorcontrib>Castro, Cándida</creatorcontrib><title>Exploratory factor analysis in transportation research: Current practices and recommendations</title><title>Transportation research. Part F, Traffic psychology and behaviour</title><description>•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.</description><subject>Exploratory factor analysis</subject><subject>Factor analysis</subject><subject>Financial reporting</subject><subject>Measuring instruments</subject><subject>Multivariate analysis</subject><subject>Quality assessment</subject><subject>Quality of life</subject><subject>Research methods</subject><subject>Studies</subject><subject>Transportation</subject><issn>1369-8478</issn><issn>1873-5517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-AG8Fz10zSdukepLFf7DgRY8S0jTBlN2mTrLifnuzrmdh4A3M-w0zj5BLoAug0FwPi4RuwSiDBWW54IjMQApe1jWI49zzpi1lJeQpOYtxoJRWDMSMvN9_T-uAOgXcFU6brIUe9XoXfSz8WCTUY5wCJp18GAu00Wo0HzfFcotox1RMmCFvbMxYn-cmbDZ27H_t8ZycOL2O9uJP5-Tt4f51-VSuXh6fl3er0vCap1LY2nWONbJvO9FpZqABJrkWvOlMBS2vwMlaWCMoFUw2hoLue941RmouHeVzcnXYO2H43NqY1BC2mN-IitW85QCtENkFB5fBECNapyb0G407BVTtU1SDyimqfYqKslyQmdsDY_P5X96iisbb0dje51-T6oP_h_4B_G18Bg</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Ledesma, Rubén D.</creator><creator>Ferrando, Pere J.</creator><creator>Trógolo, Mario A.</creator><creator>Poó, Fernando M.</creator><creator>Tosi, Jeremías D</creator><creator>Castro, Cándida</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20210401</creationdate><title>Exploratory factor analysis in transportation research: Current practices and recommendations</title><author>Ledesma, Rubén D. ; Ferrando, Pere J. ; Trógolo, Mario A. ; Poó, Fernando M. ; Tosi, Jeremías D ; Castro, Cándida</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-7e5fbf268d9b7ba2c161283a736bc419341f857ec7007286c01add3b6c8a38f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Exploratory factor analysis</topic><topic>Factor analysis</topic><topic>Financial reporting</topic><topic>Measuring instruments</topic><topic>Multivariate analysis</topic><topic>Quality assessment</topic><topic>Quality of life</topic><topic>Research methods</topic><topic>Studies</topic><topic>Transportation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ledesma, Rubén D.</creatorcontrib><creatorcontrib>Ferrando, Pere J.</creatorcontrib><creatorcontrib>Trógolo, Mario A.</creatorcontrib><creatorcontrib>Poó, Fernando M.</creatorcontrib><creatorcontrib>Tosi, Jeremías D</creatorcontrib><creatorcontrib>Castro, Cándida</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ledesma, Rubén D.</au><au>Ferrando, Pere J.</au><au>Trógolo, Mario A.</au><au>Poó, Fernando M.</au><au>Tosi, Jeremías D</au><au>Castro, Cándida</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploratory factor analysis in transportation research: Current practices and recommendations</atitle><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle><date>2021-04-01</date><risdate>2021</risdate><volume>78</volume><spage>340</spage><epage>352</epage><pages>340-352</pages><issn>1369-8478</issn><eissn>1873-5517</eissn><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><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.trf.2021.02.021</doi><tpages>13</tpages></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Exploratory factor analysis Factor analysis Financial reporting Measuring instruments Multivariate analysis Quality assessment Quality of life Research methods Studies Transportation |
title | Exploratory factor analysis in transportation research: Current practices and recommendations |
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