A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research
Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor...
Gespeichert in:
Veröffentlicht in: | Body image 2023-12, Vol.47, p.101641, Article 101641 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 101641 |
container_title | Body image |
container_volume | 47 |
creator | Swami, Viren Maïano, Christophe Morin, Alexandre J.S. |
description | Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor-ESEM) is beginning to shape the future of body image research. For these analytic approaches to truly advance body image research, scholars will need to have a deep understanding of their use and application. To facilitate such understanding, we describe ESEM and bifactor-ESEM models for body image researchers and provide them with the tools they need to apply these methods in their own work. Specifically, we provide an overview of ESEM and bifactor-ESEM models, and describe their broad applicability to body image research. Next, we describe how ESEM and bifactor models can be used and, using an existing dataset of responses to the Acceptance of Cosmetic Surgery Scale, demonstrate how ESEM and bifactor-ESEM models can be deployed. To facilitate wider application of these ideas, we provide our Mplus syntax (inputs) in Supplementary Materials. Through this manuscript, we hope to assist researchers to better understand the strengths ESEM and bifactor models, and to use these approaches in their own work.
•Exploratory structural equation modeling (ESEM) and bifactor-ESEM are introduced•Responses to the Acceptance of Cosmetic Surgery Scale are re-analysed as an illustration•Mplus syntax (inputs) is provided in Supplementary Materials |
doi_str_mv | 10.1016/j.bodyim.2023.101641 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3123805227</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1740144523001845</els_id><sourcerecordid>3123805227</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-3bd4f51a1e3de34306561a0a81cb6a2b01c7751e82d5fe9750a2d9d03b4c0df23</originalsourceid><addsrcrecordid>eNp9kElPwzAQhS0EYin8A4R8hEOKtyy9INEqQKVWSCxny7En4CqJi50g-u9JSeHIaUZP783yIXROyZgSmlyvxoUzG1uPGWH8RxJ0Dx3TLOVRkpF0v-9TQSIqRHyETkJYESIoZ-IQHfGJmDAm6DHSt_i-swZw63D-ta6cV63zG_zc-k63nVcVzj861VrX4KUzUNnmDV_mz_nyCqvG4Kktle4T0VbCtsHT_ig8r9Ub4CcIoLx-P0UHpaoCnO3qCL3e5S-zh2jxeD-f3S4iLUjWRrwwooyposANcMFJEidUEZVRXSSKFYTqNI0pZMzEJUzSmChmJobwQmhiSsZH6HKYu_buo4PQytoGDVWlGnBdkJwynpGYsbS3isGqvQvBQynX3tbKbyQlcstSruSAV27xygFvH7vYbeiKGsxf6Jdnb7gZDND_-WnBy6AtNBqM9aBbaZz9f8M3G-WLrA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3123805227</pqid></control><display><type>article</type><title>A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research</title><source>Access via ScienceDirect (Elsevier)</source><creator>Swami, Viren ; Maïano, Christophe ; Morin, Alexandre J.S.</creator><creatorcontrib>Swami, Viren ; Maïano, Christophe ; Morin, Alexandre J.S.</creatorcontrib><description>Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor-ESEM) is beginning to shape the future of body image research. For these analytic approaches to truly advance body image research, scholars will need to have a deep understanding of their use and application. To facilitate such understanding, we describe ESEM and bifactor-ESEM models for body image researchers and provide them with the tools they need to apply these methods in their own work. Specifically, we provide an overview of ESEM and bifactor-ESEM models, and describe their broad applicability to body image research. Next, we describe how ESEM and bifactor models can be used and, using an existing dataset of responses to the Acceptance of Cosmetic Surgery Scale, demonstrate how ESEM and bifactor-ESEM models can be deployed. To facilitate wider application of these ideas, we provide our Mplus syntax (inputs) in Supplementary Materials. Through this manuscript, we hope to assist researchers to better understand the strengths ESEM and bifactor models, and to use these approaches in their own work.
•Exploratory structural equation modeling (ESEM) and bifactor-ESEM are introduced•Responses to the Acceptance of Cosmetic Surgery Scale are re-analysed as an illustration•Mplus syntax (inputs) is provided in Supplementary Materials</description><identifier>ISSN: 1740-1445</identifier><identifier>ISSN: 1873-6807</identifier><identifier>EISSN: 1873-6807</identifier><identifier>DOI: 10.1016/j.bodyim.2023.101641</identifier><identifier>PMID: 39492241</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Acceptance of cosmetic surgery ; Bifactor models ; Body image ; Confirmatory factor analysis ; Exploratory factor analysis ; Exploratory structural equation modeling</subject><ispartof>Body image, 2023-12, Vol.47, p.101641, Article 101641</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-3bd4f51a1e3de34306561a0a81cb6a2b01c7751e82d5fe9750a2d9d03b4c0df23</citedby><cites>FETCH-LOGICAL-c408t-3bd4f51a1e3de34306561a0a81cb6a2b01c7751e82d5fe9750a2d9d03b4c0df23</cites><orcidid>0000-0002-4866-7950</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.bodyim.2023.101641$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39492241$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Swami, Viren</creatorcontrib><creatorcontrib>Maïano, Christophe</creatorcontrib><creatorcontrib>Morin, Alexandre J.S.</creatorcontrib><title>A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research</title><title>Body image</title><addtitle>Body Image</addtitle><description>Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor-ESEM) is beginning to shape the future of body image research. For these analytic approaches to truly advance body image research, scholars will need to have a deep understanding of their use and application. To facilitate such understanding, we describe ESEM and bifactor-ESEM models for body image researchers and provide them with the tools they need to apply these methods in their own work. Specifically, we provide an overview of ESEM and bifactor-ESEM models, and describe their broad applicability to body image research. Next, we describe how ESEM and bifactor models can be used and, using an existing dataset of responses to the Acceptance of Cosmetic Surgery Scale, demonstrate how ESEM and bifactor-ESEM models can be deployed. To facilitate wider application of these ideas, we provide our Mplus syntax (inputs) in Supplementary Materials. Through this manuscript, we hope to assist researchers to better understand the strengths ESEM and bifactor models, and to use these approaches in their own work.
•Exploratory structural equation modeling (ESEM) and bifactor-ESEM are introduced•Responses to the Acceptance of Cosmetic Surgery Scale are re-analysed as an illustration•Mplus syntax (inputs) is provided in Supplementary Materials</description><subject>Acceptance of cosmetic surgery</subject><subject>Bifactor models</subject><subject>Body image</subject><subject>Confirmatory factor analysis</subject><subject>Exploratory factor analysis</subject><subject>Exploratory structural equation modeling</subject><issn>1740-1445</issn><issn>1873-6807</issn><issn>1873-6807</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kElPwzAQhS0EYin8A4R8hEOKtyy9INEqQKVWSCxny7En4CqJi50g-u9JSeHIaUZP783yIXROyZgSmlyvxoUzG1uPGWH8RxJ0Dx3TLOVRkpF0v-9TQSIqRHyETkJYESIoZ-IQHfGJmDAm6DHSt_i-swZw63D-ta6cV63zG_zc-k63nVcVzj861VrX4KUzUNnmDV_mz_nyCqvG4Kktle4T0VbCtsHT_ig8r9Ub4CcIoLx-P0UHpaoCnO3qCL3e5S-zh2jxeD-f3S4iLUjWRrwwooyposANcMFJEidUEZVRXSSKFYTqNI0pZMzEJUzSmChmJobwQmhiSsZH6HKYu_buo4PQytoGDVWlGnBdkJwynpGYsbS3isGqvQvBQynX3tbKbyQlcstSruSAV27xygFvH7vYbeiKGsxf6Jdnb7gZDND_-WnBy6AtNBqM9aBbaZz9f8M3G-WLrA</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Swami, Viren</creator><creator>Maïano, Christophe</creator><creator>Morin, Alexandre J.S.</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4866-7950</orcidid></search><sort><creationdate>20231201</creationdate><title>A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research</title><author>Swami, Viren ; Maïano, Christophe ; Morin, Alexandre J.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-3bd4f51a1e3de34306561a0a81cb6a2b01c7751e82d5fe9750a2d9d03b4c0df23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Acceptance of cosmetic surgery</topic><topic>Bifactor models</topic><topic>Body image</topic><topic>Confirmatory factor analysis</topic><topic>Exploratory factor analysis</topic><topic>Exploratory structural equation modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Swami, Viren</creatorcontrib><creatorcontrib>Maïano, Christophe</creatorcontrib><creatorcontrib>Morin, Alexandre J.S.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Body image</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Swami, Viren</au><au>Maïano, Christophe</au><au>Morin, Alexandre J.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research</atitle><jtitle>Body image</jtitle><addtitle>Body Image</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>47</volume><spage>101641</spage><pages>101641-</pages><artnum>101641</artnum><issn>1740-1445</issn><issn>1873-6807</issn><eissn>1873-6807</eissn><abstract>Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor-ESEM) is beginning to shape the future of body image research. For these analytic approaches to truly advance body image research, scholars will need to have a deep understanding of their use and application. To facilitate such understanding, we describe ESEM and bifactor-ESEM models for body image researchers and provide them with the tools they need to apply these methods in their own work. Specifically, we provide an overview of ESEM and bifactor-ESEM models, and describe their broad applicability to body image research. Next, we describe how ESEM and bifactor models can be used and, using an existing dataset of responses to the Acceptance of Cosmetic Surgery Scale, demonstrate how ESEM and bifactor-ESEM models can be deployed. To facilitate wider application of these ideas, we provide our Mplus syntax (inputs) in Supplementary Materials. Through this manuscript, we hope to assist researchers to better understand the strengths ESEM and bifactor models, and to use these approaches in their own work.
•Exploratory structural equation modeling (ESEM) and bifactor-ESEM are introduced•Responses to the Acceptance of Cosmetic Surgery Scale are re-analysed as an illustration•Mplus syntax (inputs) is provided in Supplementary Materials</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>39492241</pmid><doi>10.1016/j.bodyim.2023.101641</doi><orcidid>https://orcid.org/0000-0002-4866-7950</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1740-1445 |
ispartof | Body image, 2023-12, Vol.47, p.101641, Article 101641 |
issn | 1740-1445 1873-6807 1873-6807 |
language | eng |
recordid | cdi_proquest_miscellaneous_3123805227 |
source | Access via ScienceDirect (Elsevier) |
subjects | Acceptance of cosmetic surgery Bifactor models Body image Confirmatory factor analysis Exploratory factor analysis Exploratory structural equation modeling |
title | A Guide to Exploratory Structural Equation Modeling (ESEM) and Bifactor-ESEM in Body Image Research |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T03%3A32%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Guide%20to%20Exploratory%20Structural%20Equation%20Modeling%20(ESEM)%20and%20Bifactor-ESEM%20in%20Body%20Image%20Research&rft.jtitle=Body%20image&rft.au=Swami,%20Viren&rft.date=2023-12-01&rft.volume=47&rft.spage=101641&rft.pages=101641-&rft.artnum=101641&rft.issn=1740-1445&rft.eissn=1873-6807&rft_id=info:doi/10.1016/j.bodyim.2023.101641&rft_dat=%3Cproquest_cross%3E3123805227%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3123805227&rft_id=info:pmid/39492241&rft_els_id=S1740144523001845&rfr_iscdi=true |