dc.contributor.author | Danner, Daniel | de |
dc.contributor.author | Lechner, Clemens | de |
dc.contributor.author | Soto, Christopher J. | de |
dc.contributor.author | John, Oliver P. | de |
dc.date.accessioned | 2021-09-22T13:38:27Z | |
dc.date.available | 2021-09-22T13:38:27Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1099-0984 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/74897 | |
dc.description.abstract | Personality can be described at different levels of abstraction. Whereas the Big Five domains are the dominant level of analysis, several researchers have called for more fine-grained approaches, such as facet-level analysis. Personality facets allow more comprehensive descriptions, more accurate predictions of outcomes, and a better understanding of the mechanisms underlying trait–outcome relationships. However, several methodological issues plague existing evidence on the added value of facet-level descriptions: Manifest facet scale scores differ with respect to their reliability, domain-level variance (variance that is due to the domain factor) and incremental facet-level variance (variance that is specific to a facet and not shared with the other facets). Moreover, manifest scale scores overlap substantially, which affects associations with criterion variables. We suggest a structural equation modelling approach that allows domain-level variance to be separated from incremental facet-level variance. We analysed data from a heterogeneous sample of adults in the USA (N = 1193) who completed the 60-item Big Five Inventory-2. The results illustrate how the variance of manifest personality items and scale scores can be decomposed into domain-level and incremental facet-level variance. The association with criterion variables (educational attainment, income, health, and life satisfaction) further demonstrates the incremental predictive power of personality facets. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | PIAAC; Big Five; personality facets; Big Five Inventory 2; DIFAB; BFI-2 | de |
dc.title | Modelling the incremental value of personality facets: the domains-incremental facets-acquiescence bifactor showmodel | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | European Journal of Personality | |
dc.source.volume | 35 | de |
dc.publisher.country | GBR | de |
dc.source.issue | 1 | de |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | psychometrics | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | measurement instrument | en |
dc.subject.thesoz | Persönlichkeitsmerkmal | de |
dc.subject.thesoz | Messinstrument | de |
dc.subject.thesoz | personality traits | en |
dc.subject.thesoz | validation | en |
dc.subject.thesoz | Validierung | de |
dc.subject.thesoz | Datenqualität | de |
dc.subject.thesoz | personality | en |
dc.subject.thesoz | Psychometrie | de |
dc.subject.thesoz | data quality | en |
dc.subject.thesoz | Reliabilität | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Persönlichkeit | de |
dc.subject.thesoz | reliability | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-74897-4 | |
dc.rights.licence | Creative Commons - Attribution-NonCommercial 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung, Nicht-kommerz. 4.0 | de |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10041769 | |
internal.identifier.thesoz | 10054295 | |
internal.identifier.thesoz | 10060987 | |
internal.identifier.thesoz | 10055811 | |
internal.identifier.thesoz | 10055693 | |
internal.identifier.thesoz | 10047174 | |
internal.identifier.thesoz | 10056537 | |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.source.pageinfo | 67-84 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2128 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1002/per.2268 | de |
dc.description.pubstatus | Published Version | en |
dc.description.pubstatus | Veröffentlichungsversion | de |
internal.identifier.licence | 32 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
ssoar.wgl.collection | true | de |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |