Loading…
A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form
The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensiona...
Saved in:
Published in: | PloS one 2022-09, Vol.17 (9), p.e0269327-e0269327 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053 |
---|---|
cites | cdi_FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053 |
container_end_page | e0269327 |
container_issue | 9 |
container_start_page | e0269327 |
container_title | PloS one |
container_volume | 17 |
creator | Zimmermann, Ronan Steppan, Martin Zimmermann, Johannes Oeltjen, Lara Birkhölzer, Marc Schmeck, Klaus Goth, Kirstin |
description | The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12–18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12–18 version are ready to be used for research and diagnostic purposes. |
doi_str_mv | 10.1371/journal.pone.0269327 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2716502202</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A718803387</galeid><doaj_id>oai_doaj_org_article_a292002f2f294348839cbd2b295ffd80</doaj_id><sourcerecordid>A718803387</sourcerecordid><originalsourceid>FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053</originalsourceid><addsrcrecordid>eNqNk9-K1DAYxYsouK6-gWBAEL3omKSdpL0RhhlXB2bZ1VVvQ5o_M1nSZkxSce58Bx_Ad_NJTJ0qW9kLyUXCl1_Od3JIsuwxgjNUUPTy2vW-43a2d52aQUzqAtM72QlKc04wLO7eWN_PHoRwDeG8qAg5yX4swOrqPJ-DxfnlCvBOgvVylSMEhGv3PJrGKtAqHnqvgHY-EUBxbw_ASNVFo41IkOuA02CvfHDJhokHIE1wXqYCMB3g0lkVhOqE-vnt-8ZdnuXvAMJpjSpgeUxCIETfizh0GTyEnfNx6Nc-zO5pboN6NM6n2cez1x-Wb_PNxZv1crHJBSF1zHEDm5pQBLFokKBSaS4rqBqFKKGVIoo2pdYU4aIpa0pqUWhYCkkQqhAXKYzT7MlRd29dYGOggWGKyBxiDHEi1kdCOn7N9t603B-Y44b9Lji_ZdxHI6xiHNcYQqzTqMuirKqiFo3EDa7nWidfSevV2K1vWiVTNNFzOxGd7nRmx7buC6vLGs2LwczzUcC7z70KkbUmJWwt75TrR994XtVVQp_-g95-u5Ha8nQB02mX-opBlC0oqpLnoqKJmt1CpSFVa0R6fdqk-uTAi8mBxET1NW55HwJbX73_f_bi05R9doPdKW7jLjjbD28xTMHyCArvQvBK_w0ZQTZ8nj9psOHzsPHzFL8ABx4NWw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2716502202</pqid></control><display><type>article</type><title>A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form</title><source>PubMed Central database</source><source>ProQuest Publicly Available Content database</source><creator>Zimmermann, Ronan ; Steppan, Martin ; Zimmermann, Johannes ; Oeltjen, Lara ; Birkhölzer, Marc ; Schmeck, Klaus ; Goth, Kirstin</creator><contributor>Korn, Christoph W.</contributor><creatorcontrib>Zimmermann, Ronan ; Steppan, Martin ; Zimmermann, Johannes ; Oeltjen, Lara ; Birkhölzer, Marc ; Schmeck, Klaus ; Goth, Kirstin ; Korn, Christoph W.</creatorcontrib><description>The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12–18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12–18 version are ready to be used for research and diagnostic purposes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0269327</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Adolescence ; Adolescents ; Algorithms ; Ant colony optimization ; Biology and Life Sciences ; Child development ; Demographic aspects ; Diagnosis ; Empathy ; Factor analysis ; Intimacy ; Latent class analysis ; Medical diagnosis ; Medical examination ; Medicine and Health Sciences ; Mental disorders ; Modelling ; Optimization ; Patients ; People and Places ; Personality ; Personality disorders ; Personality tests ; Personality traits ; Physical Sciences ; Psychological aspects ; Quantitative psychology ; Questionnaires ; Research and Analysis Methods ; Social Sciences ; Teenagers ; Validity ; Youth</subject><ispartof>PloS one, 2022-09, Vol.17 (9), p.e0269327-e0269327</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Zimmermann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Zimmermann et al 2022 Zimmermann et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053</citedby><cites>FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053</cites><orcidid>0000-0001-8640-2956 ; 0000-0002-0992-3392 ; 0000-0001-6975-2356</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2716502202/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2716502202?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>Korn, Christoph W.</contributor><creatorcontrib>Zimmermann, Ronan</creatorcontrib><creatorcontrib>Steppan, Martin</creatorcontrib><creatorcontrib>Zimmermann, Johannes</creatorcontrib><creatorcontrib>Oeltjen, Lara</creatorcontrib><creatorcontrib>Birkhölzer, Marc</creatorcontrib><creatorcontrib>Schmeck, Klaus</creatorcontrib><creatorcontrib>Goth, Kirstin</creatorcontrib><title>A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form</title><title>PloS one</title><description>The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12–18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12–18 version are ready to be used for research and diagnostic purposes.</description><subject>Adolescence</subject><subject>Adolescents</subject><subject>Algorithms</subject><subject>Ant colony optimization</subject><subject>Biology and Life Sciences</subject><subject>Child development</subject><subject>Demographic aspects</subject><subject>Diagnosis</subject><subject>Empathy</subject><subject>Factor analysis</subject><subject>Intimacy</subject><subject>Latent class analysis</subject><subject>Medical diagnosis</subject><subject>Medical examination</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Modelling</subject><subject>Optimization</subject><subject>Patients</subject><subject>People and Places</subject><subject>Personality</subject><subject>Personality disorders</subject><subject>Personality tests</subject><subject>Personality traits</subject><subject>Physical Sciences</subject><subject>Psychological aspects</subject><subject>Quantitative psychology</subject><subject>Questionnaires</subject><subject>Research and Analysis Methods</subject><subject>Social Sciences</subject><subject>Teenagers</subject><subject>Validity</subject><subject>Youth</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9-K1DAYxYsouK6-gWBAEL3omKSdpL0RhhlXB2bZ1VVvQ5o_M1nSZkxSce58Bx_Ad_NJTJ0qW9kLyUXCl1_Od3JIsuwxgjNUUPTy2vW-43a2d52aQUzqAtM72QlKc04wLO7eWN_PHoRwDeG8qAg5yX4swOrqPJ-DxfnlCvBOgvVylSMEhGv3PJrGKtAqHnqvgHY-EUBxbw_ASNVFo41IkOuA02CvfHDJhokHIE1wXqYCMB3g0lkVhOqE-vnt-8ZdnuXvAMJpjSpgeUxCIETfizh0GTyEnfNx6Nc-zO5pboN6NM6n2cez1x-Wb_PNxZv1crHJBSF1zHEDm5pQBLFokKBSaS4rqBqFKKGVIoo2pdYU4aIpa0pqUWhYCkkQqhAXKYzT7MlRd29dYGOggWGKyBxiDHEi1kdCOn7N9t603B-Y44b9Lji_ZdxHI6xiHNcYQqzTqMuirKqiFo3EDa7nWidfSevV2K1vWiVTNNFzOxGd7nRmx7buC6vLGs2LwczzUcC7z70KkbUmJWwt75TrR994XtVVQp_-g95-u5Ha8nQB02mX-opBlC0oqpLnoqKJmt1CpSFVa0R6fdqk-uTAi8mBxET1NW55HwJbX73_f_bi05R9doPdKW7jLjjbD28xTMHyCArvQvBK_w0ZQTZ8nj9psOHzsPHzFL8ABx4NWw</recordid><startdate>20220921</startdate><enddate>20220921</enddate><creator>Zimmermann, Ronan</creator><creator>Steppan, Martin</creator><creator>Zimmermann, Johannes</creator><creator>Oeltjen, Lara</creator><creator>Birkhölzer, Marc</creator><creator>Schmeck, Klaus</creator><creator>Goth, Kirstin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8640-2956</orcidid><orcidid>https://orcid.org/0000-0002-0992-3392</orcidid><orcidid>https://orcid.org/0000-0001-6975-2356</orcidid></search><sort><creationdate>20220921</creationdate><title>A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form</title><author>Zimmermann, Ronan ; Steppan, Martin ; Zimmermann, Johannes ; Oeltjen, Lara ; Birkhölzer, Marc ; Schmeck, Klaus ; Goth, Kirstin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adolescence</topic><topic>Adolescents</topic><topic>Algorithms</topic><topic>Ant colony optimization</topic><topic>Biology and Life Sciences</topic><topic>Child development</topic><topic>Demographic aspects</topic><topic>Diagnosis</topic><topic>Empathy</topic><topic>Factor analysis</topic><topic>Intimacy</topic><topic>Latent class analysis</topic><topic>Medical diagnosis</topic><topic>Medical examination</topic><topic>Medicine and Health Sciences</topic><topic>Mental disorders</topic><topic>Modelling</topic><topic>Optimization</topic><topic>Patients</topic><topic>People and Places</topic><topic>Personality</topic><topic>Personality disorders</topic><topic>Personality tests</topic><topic>Personality traits</topic><topic>Physical Sciences</topic><topic>Psychological aspects</topic><topic>Quantitative psychology</topic><topic>Questionnaires</topic><topic>Research and Analysis Methods</topic><topic>Social Sciences</topic><topic>Teenagers</topic><topic>Validity</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zimmermann, Ronan</creatorcontrib><creatorcontrib>Steppan, Martin</creatorcontrib><creatorcontrib>Zimmermann, Johannes</creatorcontrib><creatorcontrib>Oeltjen, Lara</creatorcontrib><creatorcontrib>Birkhölzer, Marc</creatorcontrib><creatorcontrib>Schmeck, Klaus</creatorcontrib><creatorcontrib>Goth, Kirstin</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints database</collection><collection>Science in Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Publicly Available Content database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zimmermann, Ronan</au><au>Steppan, Martin</au><au>Zimmermann, Johannes</au><au>Oeltjen, Lara</au><au>Birkhölzer, Marc</au><au>Schmeck, Klaus</au><au>Goth, Kirstin</au><au>Korn, Christoph W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form</atitle><jtitle>PloS one</jtitle><date>2022-09-21</date><risdate>2022</risdate><volume>17</volume><issue>9</issue><spage>e0269327</spage><epage>e0269327</epage><pages>e0269327-e0269327</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12–18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12–18 version are ready to be used for research and diagnostic purposes.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><doi>10.1371/journal.pone.0269327</doi><tpages>e0269327</tpages><orcidid>https://orcid.org/0000-0001-8640-2956</orcidid><orcidid>https://orcid.org/0000-0002-0992-3392</orcidid><orcidid>https://orcid.org/0000-0001-6975-2356</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2022-09, Vol.17 (9), p.e0269327-e0269327 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2716502202 |
source | PubMed Central database; ProQuest Publicly Available Content database |
subjects | Adolescence Adolescents Algorithms Ant colony optimization Biology and Life Sciences Child development Demographic aspects Diagnosis Empathy Factor analysis Intimacy Latent class analysis Medical diagnosis Medical examination Medicine and Health Sciences Mental disorders Modelling Optimization Patients People and Places Personality Personality disorders Personality tests Personality traits Physical Sciences Psychological aspects Quantitative psychology Questionnaires Research and Analysis Methods Social Sciences Teenagers Validity Youth |
title | A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence–LoPF-Q 12–18 latent structure and short form |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T23%3A38%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20DSM-5%20AMPD%20and%20ICD-11%20compatible%20measure%20for%20an%20early%20identification%20of%20personality%20disorders%20in%20adolescence%E2%80%93LoPF-Q%2012%E2%80%9318%20latent%20structure%20and%20short%20form&rft.jtitle=PloS%20one&rft.au=Zimmermann,%20Ronan&rft.date=2022-09-21&rft.volume=17&rft.issue=9&rft.spage=e0269327&rft.epage=e0269327&rft.pages=e0269327-e0269327&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0269327&rft_dat=%3Cgale_plos_%3EA718803387%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c669t-2b0b967102cb1c7defad80ebe17678e6e7b4ff7123b49769c3f04cd61181ac053%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2716502202&rft_id=info:pmid/&rft_galeid=A718803387&rfr_iscdi=true |