Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits
The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if...
Gespeichert in:
| Veröffentlicht in: | PloS one 2015-03, Vol.10 (3), p.e0119667-e0119667 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0119667 |
|---|---|
| container_issue | 3 |
| container_start_page | e0119667 |
| container_title | PloS one |
| container_volume | 10 |
| creator | Mõttus, René Realo, Anu Allik, Jüri Esko, Tõnu Metspalu, Andres Johnson, Wendy |
| description | The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if the components of the trait scales (items for facet scales and facets for domain scales) showed consistent age group differences. For this, measurement invariance (MI) framework was used. In a sample of 2,711 Estonians who had completed the NEO Personality Inventory 3 (NEO PI-3), more than half of the facet scales and one domain scale did not meet the criterion for weak MI (factor loading equality) across 12 age groups spanning ages from 18 to 91 years. Furthermore, none of the facet and domain scales met the criterion for strong MI (intercept equality), suggesting that items of the same facets and facets of the same domains varied in age group differences. When items were residualized for their respective facets, 46% of them had significant (p < 0.0002) residual age-correlations. When facets were residualized for their domain scores, a majority had significant (p < 0.002) residual age-correlations. For each domain, a series of latent factors were specified using random quarters of their items: scores of such latent factors varied notably (within domains) in correlations with age. We argue that manifestations of aetiologically coherent traits should show similar age group differences. Given this, the FFM domains and facets as embodied in the NEO PI-3 do not reflect aetiologically coherent traits. |
| doi_str_mv | 10.1371/journal.pone.0119667 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1661596251</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A429254255</galeid><doaj_id>oai_doaj_org_article_96a5657a0c814689ac1c3d8888605595</doaj_id><sourcerecordid>A429254255</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-658d135884ac953b2f93857a45a2013ccfa03d95696081657d7ba8e3bb5805a63</originalsourceid><addsrcrecordid>eNqNk9tq3DAQhk1padK0b1BaQ6G0F7u1JEu2elEIoYdAINDjpZiVx7aCbTmSHJpn6ctW3t2EuOSi8oWM5pt_DtIkyXOSrQkryLsLO7kBuvVoB1xnhEghigfJIZGMrgTN2MM7_wfJE-8vsoyzUojHyQHlBSe0YIfJn18mtGZYBQcmpC0GdLbBAU24Ts2QQoNp4-w0ppWpa3Q4aPSzYUTnbQw_c5XtwQw-haFKa9AY_PvU9GNnNARjo6G2Lg0tphVeYWfHHoewhbVtd5KprReK22z80-RRDZ3HZ_v9KPnx6eP3ky-rs_PPpyfHZystJA0rwcuKMF6WOWjJ2YbWkpW8gJwDzQjTuoaMVZILKbKSCF5UxQZKZJsNLzMOgh0lL3e6Y2e92vfVKyIE4VJQTiJxuiMqCxdqdKYHd60sGLU9sK5R4ILRHSopgMcYkOmS5KKUoIlmVRmXyDiP-R0lH_bRpk2PlY7NcNAtRJeWwbSqsVcqZzzeu4wCb_YCzl5O6IPqjdfYdTCgnbZ505xRKefKXv2D3l_dnmogFmCG2sa4ehZVxzmVlOeUz3mv76HiV2FvdHyEtYnnC4e3C4fIBPwdGpi8V6ffvv4_e_5zyb6-w7YIXWi97abtW1uC-Q7UznrvsL5tMsnUPEM33VDzDKn9DEW3F3cv6NbpZmjYX9vvGIM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1661596251</pqid></control><display><type>article</type><title>Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Mõttus, René ; Realo, Anu ; Allik, Jüri ; Esko, Tõnu ; Metspalu, Andres ; Johnson, Wendy</creator><contributor>Aidman, Eugene V</contributor><creatorcontrib>Mõttus, René ; Realo, Anu ; Allik, Jüri ; Esko, Tõnu ; Metspalu, Andres ; Johnson, Wendy ; Aidman, Eugene V</creatorcontrib><description>The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if the components of the trait scales (items for facet scales and facets for domain scales) showed consistent age group differences. For this, measurement invariance (MI) framework was used. In a sample of 2,711 Estonians who had completed the NEO Personality Inventory 3 (NEO PI-3), more than half of the facet scales and one domain scale did not meet the criterion for weak MI (factor loading equality) across 12 age groups spanning ages from 18 to 91 years. Furthermore, none of the facet and domain scales met the criterion for strong MI (intercept equality), suggesting that items of the same facets and facets of the same domains varied in age group differences. When items were residualized for their respective facets, 46% of them had significant (p < 0.0002) residual age-correlations. When facets were residualized for their domain scores, a majority had significant (p < 0.002) residual age-correlations. For each domain, a series of latent factors were specified using random quarters of their items: scores of such latent factors varied notably (within domains) in correlations with age. We argue that manifestations of aetiologically coherent traits should show similar age group differences. Given this, the FFM domains and facets as embodied in the NEO PI-3 do not reflect aetiologically coherent traits.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0119667</identifier><identifier>PMID: 25751273</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Age differences ; Age groups ; Aged ; Aged, 80 and over ; Aging ; Analysis ; Coherence ; Correlation ; Criteria ; Cross-sectional studies ; Discipline ; Epidemiology ; Female ; Genomes ; Heterogeneity ; Humans ; Male ; Middle Aged ; Models, Psychological ; Older people ; Personality ; Personality traits ; Psychology ; Psychometrics ; Studies ; Trends ; Young Adult</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0119667-e0119667</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Mõttus 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>2015 Mõttus et al 2015 Mõttus et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-658d135884ac953b2f93857a45a2013ccfa03d95696081657d7ba8e3bb5805a63</citedby><cites>FETCH-LOGICAL-c692t-658d135884ac953b2f93857a45a2013ccfa03d95696081657d7ba8e3bb5805a63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353719/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353719/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25751273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Aidman, Eugene V</contributor><creatorcontrib>Mõttus, René</creatorcontrib><creatorcontrib>Realo, Anu</creatorcontrib><creatorcontrib>Allik, Jüri</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Metspalu, Andres</creatorcontrib><creatorcontrib>Johnson, Wendy</creatorcontrib><title>Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if the components of the trait scales (items for facet scales and facets for domain scales) showed consistent age group differences. For this, measurement invariance (MI) framework was used. In a sample of 2,711 Estonians who had completed the NEO Personality Inventory 3 (NEO PI-3), more than half of the facet scales and one domain scale did not meet the criterion for weak MI (factor loading equality) across 12 age groups spanning ages from 18 to 91 years. Furthermore, none of the facet and domain scales met the criterion for strong MI (intercept equality), suggesting that items of the same facets and facets of the same domains varied in age group differences. When items were residualized for their respective facets, 46% of them had significant (p < 0.0002) residual age-correlations. When facets were residualized for their domain scores, a majority had significant (p < 0.002) residual age-correlations. For each domain, a series of latent factors were specified using random quarters of their items: scores of such latent factors varied notably (within domains) in correlations with age. We argue that manifestations of aetiologically coherent traits should show similar age group differences. Given this, the FFM domains and facets as embodied in the NEO PI-3 do not reflect aetiologically coherent traits.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Age differences</subject><subject>Age groups</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Analysis</subject><subject>Coherence</subject><subject>Correlation</subject><subject>Criteria</subject><subject>Cross-sectional studies</subject><subject>Discipline</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Genomes</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Psychological</subject><subject>Older people</subject><subject>Personality</subject><subject>Personality traits</subject><subject>Psychology</subject><subject>Psychometrics</subject><subject>Studies</subject><subject>Trends</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tq3DAQhk1padK0b1BaQ6G0F7u1JEu2elEIoYdAINDjpZiVx7aCbTmSHJpn6ctW3t2EuOSi8oWM5pt_DtIkyXOSrQkryLsLO7kBuvVoB1xnhEghigfJIZGMrgTN2MM7_wfJE-8vsoyzUojHyQHlBSe0YIfJn18mtGZYBQcmpC0GdLbBAU24Ts2QQoNp4-w0ppWpa3Q4aPSzYUTnbQw_c5XtwQw-haFKa9AY_PvU9GNnNARjo6G2Lg0tphVeYWfHHoewhbVtd5KprReK22z80-RRDZ3HZ_v9KPnx6eP3ky-rs_PPpyfHZystJA0rwcuKMF6WOWjJ2YbWkpW8gJwDzQjTuoaMVZILKbKSCF5UxQZKZJsNLzMOgh0lL3e6Y2e92vfVKyIE4VJQTiJxuiMqCxdqdKYHd60sGLU9sK5R4ILRHSopgMcYkOmS5KKUoIlmVRmXyDiP-R0lH_bRpk2PlY7NcNAtRJeWwbSqsVcqZzzeu4wCb_YCzl5O6IPqjdfYdTCgnbZ505xRKefKXv2D3l_dnmogFmCG2sa4ehZVxzmVlOeUz3mv76HiV2FvdHyEtYnnC4e3C4fIBPwdGpi8V6ffvv4_e_5zyb6-w7YIXWi97abtW1uC-Q7UznrvsL5tMsnUPEM33VDzDKn9DEW3F3cv6NbpZmjYX9vvGIM</recordid><startdate>20150309</startdate><enddate>20150309</enddate><creator>Mõttus, René</creator><creator>Realo, Anu</creator><creator>Allik, Jüri</creator><creator>Esko, Tõnu</creator><creator>Metspalu, Andres</creator><creator>Johnson, Wendy</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150309</creationdate><title>Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits</title><author>Mõttus, René ; Realo, Anu ; Allik, Jüri ; Esko, Tõnu ; Metspalu, Andres ; Johnson, Wendy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-658d135884ac953b2f93857a45a2013ccfa03d95696081657d7ba8e3bb5805a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Age differences</topic><topic>Age groups</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Analysis</topic><topic>Coherence</topic><topic>Correlation</topic><topic>Criteria</topic><topic>Cross-sectional studies</topic><topic>Discipline</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Genomes</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Psychological</topic><topic>Older people</topic><topic>Personality</topic><topic>Personality traits</topic><topic>Psychology</topic><topic>Psychometrics</topic><topic>Studies</topic><topic>Trends</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mõttus, René</creatorcontrib><creatorcontrib>Realo, Anu</creatorcontrib><creatorcontrib>Allik, Jüri</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Metspalu, Andres</creatorcontrib><creatorcontrib>Johnson, Wendy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</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 Edition)</collection><collection>ProQuest Central UK/Ireland</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>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>Advanced Technologies & Aerospace Database</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>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</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>Mõttus, René</au><au>Realo, Anu</au><au>Allik, Jüri</au><au>Esko, Tõnu</au><au>Metspalu, Andres</au><au>Johnson, Wendy</au><au>Aidman, Eugene V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-09</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0119667</spage><epage>e0119667</epage><pages>e0119667-e0119667</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if the components of the trait scales (items for facet scales and facets for domain scales) showed consistent age group differences. For this, measurement invariance (MI) framework was used. In a sample of 2,711 Estonians who had completed the NEO Personality Inventory 3 (NEO PI-3), more than half of the facet scales and one domain scale did not meet the criterion for weak MI (factor loading equality) across 12 age groups spanning ages from 18 to 91 years. Furthermore, none of the facet and domain scales met the criterion for strong MI (intercept equality), suggesting that items of the same facets and facets of the same domains varied in age group differences. When items were residualized for their respective facets, 46% of them had significant (p < 0.0002) residual age-correlations. When facets were residualized for their domain scores, a majority had significant (p < 0.002) residual age-correlations. For each domain, a series of latent factors were specified using random quarters of their items: scores of such latent factors varied notably (within domains) in correlations with age. We argue that manifestations of aetiologically coherent traits should show similar age group differences. Given this, the FFM domains and facets as embodied in the NEO PI-3 do not reflect aetiologically coherent traits.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25751273</pmid><doi>10.1371/journal.pone.0119667</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-03, Vol.10 (3), p.e0119667-e0119667 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1661596251 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Age Age differences Age groups Aged Aged, 80 and over Aging Analysis Coherence Correlation Criteria Cross-sectional studies Discipline Epidemiology Female Genomes Heterogeneity Humans Male Middle Aged Models, Psychological Older people Personality Personality traits Psychology Psychometrics Studies Trends Young Adult |
| title | Within-trait heterogeneity in age group differences in personality domains and facets: implications for the development and coherence of personality traits |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T19%3A20%3A29IST&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=Within-trait%20heterogeneity%20in%20age%20group%20differences%20in%20personality%20domains%20and%20facets:%20implications%20for%20the%20development%20and%20coherence%20of%20personality%20traits&rft.jtitle=PloS%20one&rft.au=M%C3%B5ttus,%20Ren%C3%A9&rft.date=2015-03-09&rft.volume=10&rft.issue=3&rft.spage=e0119667&rft.epage=e0119667&rft.pages=e0119667-e0119667&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0119667&rft_dat=%3Cgale_plos_%3EA429254255%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1661596251&rft_id=info:pmid/25751273&rft_galeid=A429254255&rft_doaj_id=oai_doaj_org_article_96a5657a0c814689ac1c3d8888605595&rfr_iscdi=true |