Update to core reporting practices in structural equation modeling

This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Research in social and administrative pharmacy 2017-05, Vol.13 (3), p.634-643
1. Verfasser: Schreiber, James B.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 643
container_issue 3
container_start_page 634
container_title Research in social and administrative pharmacy
container_volume 13
creator Schreiber, James B.
description This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques.
doi_str_mv 10.1016/j.sapharm.2016.06.006
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1859721533</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1551741116301103</els_id><sourcerecordid>1859721533</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-84054968a422dfd510b2e2074afb216f24e22311b41ad335233de5758758ab5f3</originalsourceid><addsrcrecordid>eNqFkEtLxTAQhYMovn-C0qWbXjN5tL0rUfEFghtdhzSZai5tU5NU8N-by726FQ7MDHwzhzmEnAFdAIXqcrWIevrQYViwPC5oFq12yCEsuSgbkHQ391JCWQuAA3IU44pSXlMQ--SA1bKqQVSH5OZtsjphkXxhfMAi4ORDcuN7MQVtkjMYCzcWMYXZpDnovsDPWSfnx2LwFvtMnpC9TvcRT7f1mLzd373ePpbPLw9Pt9fPpeGVTGUjqBTLqtGCMdtZCbRlyGgtdNcyqDomkDEO0ArQlnPJOLcoa9lk6VZ2_JhcbO5OwX_OGJMaXDTY93pEP0cFjVzWDCTnGZUb1AQfY8BOTcENOnwroGodn1qpbXxqHZ-iWbTKe-dbi7kd0P5t_eaVgasNgPnRL4dBReNwNGhdQJOU9e4fix9cKYLf</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1859721533</pqid></control><display><type>article</type><title>Update to core reporting practices in structural equation modeling</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Schreiber, James B.</creator><creatorcontrib>Schreiber, James B.</creatorcontrib><description>This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques.</description><identifier>ISSN: 1551-7411</identifier><identifier>EISSN: 1934-8150</identifier><identifier>DOI: 10.1016/j.sapharm.2016.06.006</identifier><identifier>PMID: 27567146</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Data Interpretation, Statistical ; Humans ; Models, Statistical ; Reporting ; Research Design ; Research methods ; Sample Size ; Structural equation modeling</subject><ispartof>Research in social and administrative pharmacy, 2017-05, Vol.13 (3), p.634-643</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-84054968a422dfd510b2e2074afb216f24e22311b41ad335233de5758758ab5f3</citedby><cites>FETCH-LOGICAL-c365t-84054968a422dfd510b2e2074afb216f24e22311b41ad335233de5758758ab5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1551741116301103$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27567146$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schreiber, James B.</creatorcontrib><title>Update to core reporting practices in structural equation modeling</title><title>Research in social and administrative pharmacy</title><addtitle>Res Social Adm Pharm</addtitle><description>This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques.</description><subject>Data Interpretation, Statistical</subject><subject>Humans</subject><subject>Models, Statistical</subject><subject>Reporting</subject><subject>Research Design</subject><subject>Research methods</subject><subject>Sample Size</subject><subject>Structural equation modeling</subject><issn>1551-7411</issn><issn>1934-8150</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEtLxTAQhYMovn-C0qWbXjN5tL0rUfEFghtdhzSZai5tU5NU8N-by726FQ7MDHwzhzmEnAFdAIXqcrWIevrQYViwPC5oFq12yCEsuSgbkHQ391JCWQuAA3IU44pSXlMQ--SA1bKqQVSH5OZtsjphkXxhfMAi4ORDcuN7MQVtkjMYCzcWMYXZpDnovsDPWSfnx2LwFvtMnpC9TvcRT7f1mLzd373ePpbPLw9Pt9fPpeGVTGUjqBTLqtGCMdtZCbRlyGgtdNcyqDomkDEO0ArQlnPJOLcoa9lk6VZ2_JhcbO5OwX_OGJMaXDTY93pEP0cFjVzWDCTnGZUb1AQfY8BOTcENOnwroGodn1qpbXxqHZ-iWbTKe-dbi7kd0P5t_eaVgasNgPnRL4dBReNwNGhdQJOU9e4fix9cKYLf</recordid><startdate>201705</startdate><enddate>201705</enddate><creator>Schreiber, James B.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201705</creationdate><title>Update to core reporting practices in structural equation modeling</title><author>Schreiber, James B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-84054968a422dfd510b2e2074afb216f24e22311b41ad335233de5758758ab5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Data Interpretation, Statistical</topic><topic>Humans</topic><topic>Models, Statistical</topic><topic>Reporting</topic><topic>Research Design</topic><topic>Research methods</topic><topic>Sample Size</topic><topic>Structural equation modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schreiber, James B.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Research in social and administrative pharmacy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schreiber, James B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Update to core reporting practices in structural equation modeling</atitle><jtitle>Research in social and administrative pharmacy</jtitle><addtitle>Res Social Adm Pharm</addtitle><date>2017-05</date><risdate>2017</risdate><volume>13</volume><issue>3</issue><spage>634</spage><epage>643</epage><pages>634-643</pages><issn>1551-7411</issn><eissn>1934-8150</eissn><abstract>This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27567146</pmid><doi>10.1016/j.sapharm.2016.06.006</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1551-7411
ispartof Research in social and administrative pharmacy, 2017-05, Vol.13 (3), p.634-643
issn 1551-7411
1934-8150
language eng
recordid cdi_proquest_miscellaneous_1859721533
source MEDLINE; Elsevier ScienceDirect Journals
subjects Data Interpretation, Statistical
Humans
Models, Statistical
Reporting
Research Design
Research methods
Sample Size
Structural equation modeling
title Update to core reporting practices in structural equation modeling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T23%3A17%3A32IST&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=Update%20to%20core%20reporting%20practices%20in%20structural%20equation%20modeling&rft.jtitle=Research%20in%20social%20and%20administrative%20pharmacy&rft.au=Schreiber,%20James%20B.&rft.date=2017-05&rft.volume=13&rft.issue=3&rft.spage=634&rft.epage=643&rft.pages=634-643&rft.issn=1551-7411&rft.eissn=1934-8150&rft_id=info:doi/10.1016/j.sapharm.2016.06.006&rft_dat=%3Cproquest_cross%3E1859721533%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=1859721533&rft_id=info:pmid/27567146&rft_els_id=S1551741116301103&rfr_iscdi=true