Reviewer Resources: Confirmatory Factor Analysis

Reviewer Resources: Confirmatory Factor Analysis

Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a result, understanding how to properly conduct these analyses, report the results, and interpret their implications is critically important for advancing organizational research. The goal of this paper is to sum...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Organizational research methods 2023-10, Vol.26 (4), p.608-628
1. Verfasser: Nye, Christopher D.
Format: Artikel
Sprache:eng
Schlagworte:
Factor analysis
Research management
Structural equation modeling
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 628
container_issue 4
container_start_page 608
container_title Organizational research methods
container_volume 26
creator Nye, Christopher D.
description Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a result, understanding how to properly conduct these analyses, report the results, and interpret their implications is critically important for advancing organizational research. The goal of this paper is to summarize the complexities of CFA models and, therefore, to provide a resource for journal reviewers and researchers who are using CFA in their research. The topics covered in this paper include the estimation process, power analyses, model fit, and model modifications, among other things. In addition, this paper concludes with a checklist that summarizes the key points that are discussed and can be used to evaluate future studies that incorporate CFA.
doi_str_mv 10.1177/10944281221120541
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2882264177</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_10944281221120541</sage_id><sourcerecordid>2882264177</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-6f83e04183ac68cefe3252bd01fe534c417d7b2992cecf5aac58e0682760af713</originalsourceid><addsrcrecordid>eNp1UE1LAzEQDaJgrf4Abwuet2YmySbrrRSrQkEoel7SdCJb2m5Ntsr-e7Os0IN4egPzvniM3QKfAGh9D7yUEg0gAiBXEs7YCJTCXEtU5-lO_7wnXLKrGDecg0BVjhhf0ldN3xSyJcXmGBzFh2zW7H0ddrZtQpfNrUuYTfd228U6XrMLb7eRbn5xzN7nj2-z53zx-vQymy5yJ4qyzQtvBHEJRlhXGEeeUh6u1hw8KSGdBL3WKyxLdOS8stYpQ7wwqAtuvQYxZneD7yE0n0eKbbVJ9VKJWKExiEVy0IkFA8uFJsZAvjqEemdDVwGv-mGqP8MkTTZoyDX7Op4URgNwBaK3nQyUaD_oFPy_5w9HX2uD</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2882264177</pqid></control><display><type>article</type><title>Reviewer Resources: Confirmatory Factor Analysis</title><source>Access via SAGE</source><creator>Nye, Christopher D.</creator><creatorcontrib>Nye, Christopher D.</creatorcontrib><description>Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a result, understanding how to properly conduct these analyses, report the results, and interpret their implications is critically important for advancing organizational research. The goal of this paper is to summarize the complexities of CFA models and, therefore, to provide a resource for journal reviewers and researchers who are using CFA in their research. The topics covered in this paper include the estimation process, power analyses, model fit, and model modifications, among other things. In addition, this paper concludes with a checklist that summarizes the key points that are discussed and can be used to evaluate future studies that incorporate CFA.</description><identifier>ISSN: 1094-4281</identifier><identifier>EISSN: 1552-7425</identifier><identifier>DOI: 10.1177/10944281221120541</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Factor analysis ; Research management ; Structural equation modeling</subject><ispartof>Organizational research methods, 2023-10, Vol.26 (4), p.608-628</ispartof><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-6f83e04183ac68cefe3252bd01fe534c417d7b2992cecf5aac58e0682760af713</citedby><cites>FETCH-LOGICAL-c369t-6f83e04183ac68cefe3252bd01fe534c417d7b2992cecf5aac58e0682760af713</cites><orcidid>0000-0002-2359-8514</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/10944281221120541$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/10944281221120541$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids></links><search><creatorcontrib>Nye, Christopher D.</creatorcontrib><title>Reviewer Resources: Confirmatory Factor Analysis</title><title>Organizational research methods</title><addtitle>Organizational Research Methods</addtitle><description>Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a result, understanding how to properly conduct these analyses, report the results, and interpret their implications is critically important for advancing organizational research. The goal of this paper is to summarize the complexities of CFA models and, therefore, to provide a resource for journal reviewers and researchers who are using CFA in their research. The topics covered in this paper include the estimation process, power analyses, model fit, and model modifications, among other things. In addition, this paper concludes with a checklist that summarizes the key points that are discussed and can be used to evaluate future studies that incorporate CFA.</description><subject>Factor analysis</subject><subject>Research management</subject><subject>Structural equation modeling</subject><issn>1094-4281</issn><issn>1552-7425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1UE1LAzEQDaJgrf4Abwuet2YmySbrrRSrQkEoel7SdCJb2m5Ntsr-e7Os0IN4egPzvniM3QKfAGh9D7yUEg0gAiBXEs7YCJTCXEtU5-lO_7wnXLKrGDecg0BVjhhf0ldN3xSyJcXmGBzFh2zW7H0ddrZtQpfNrUuYTfd228U6XrMLb7eRbn5xzN7nj2-z53zx-vQymy5yJ4qyzQtvBHEJRlhXGEeeUh6u1hw8KSGdBL3WKyxLdOS8stYpQ7wwqAtuvQYxZneD7yE0n0eKbbVJ9VKJWKExiEVy0IkFA8uFJsZAvjqEemdDVwGv-mGqP8MkTTZoyDX7Op4URgNwBaK3nQyUaD_oFPy_5w9HX2uD</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Nye, Christopher D.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0002-2359-8514</orcidid></search><sort><creationdate>20231001</creationdate><title>Reviewer Resources: Confirmatory Factor Analysis</title><author>Nye, Christopher D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-6f83e04183ac68cefe3252bd01fe534c417d7b2992cecf5aac58e0682760af713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Factor analysis</topic><topic>Research management</topic><topic>Structural equation modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nye, Christopher D.</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Organizational research methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nye, Christopher D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reviewer Resources: Confirmatory Factor Analysis</atitle><jtitle>Organizational research methods</jtitle><addtitle>Organizational Research Methods</addtitle><date>2023-10-01</date><risdate>2023</risdate><volume>26</volume><issue>4</issue><spage>608</spage><epage>628</epage><pages>608-628</pages><issn>1094-4281</issn><eissn>1552-7425</eissn><abstract>Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a result, understanding how to properly conduct these analyses, report the results, and interpret their implications is critically important for advancing organizational research. The goal of this paper is to summarize the complexities of CFA models and, therefore, to provide a resource for journal reviewers and researchers who are using CFA in their research. The topics covered in this paper include the estimation process, power analyses, model fit, and model modifications, among other things. In addition, this paper concludes with a checklist that summarizes the key points that are discussed and can be used to evaluate future studies that incorporate CFA.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/10944281221120541</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-2359-8514</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1094-4281
ispartof Organizational research methods, 2023-10, Vol.26 (4), p.608-628
issn 1094-4281
1552-7425
language eng
recordid cdi_proquest_journals_2882264177
source Access via SAGE
subjects Factor analysis
Research management
Structural equation modeling
title Reviewer Resources: Confirmatory Factor Analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A34%3A24IST&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=Reviewer%20Resources:%20Confirmatory%20Factor%20Analysis&rft.jtitle=Organizational%20research%20methods&rft.au=Nye,%20Christopher%20D.&rft.date=2023-10-01&rft.volume=26&rft.issue=4&rft.spage=608&rft.epage=628&rft.pages=608-628&rft.issn=1094-4281&rft.eissn=1552-7425&rft_id=info:doi/10.1177/10944281221120541&rft_dat=%3Cproquest_cross%3E2882264177%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=2882264177&rft_id=info:pmid/&rft_sage_id=10.1177_10944281221120541&rfr_iscdi=true