dc.contributor.author | Raykov, Tenko | de |
dc.contributor.author | Bluemke, Matthias | de |
dc.date.accessioned | 2023-03-03T11:07:14Z | |
dc.date.available | 2023-03-03T11:07:14Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1552-3888 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/85349 | |
dc.description.abstract | A widely applicable procedure of examining proximity to unidimensionality for multicomponent measuring instruments with multidimensional structure is discussed. The method is developed within the framework of latent variable modeling and allows one to point and interval estimate an explained variance proportion-based index that may be considered a measure of proximity to unidimensional structure. The approach is readily utilized in educational, behavioral, and social research when it is of interest to evaluate whether a more general structure scale, test, or measuring instrument could be treated as being associated with an approximately unidimensional latent structure for some empirical purposes. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | bifactor model; global factor; index of proximity to unidimensionality; latent structure; latent variable modeling; local factor; multicomponent measuring instrument; unidimensionality | de |
dc.title | Examining Multidimensional Measuring Instruments for Proximity to Unidimensional Structure Using Latent Variable Modeling | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.identifier.url | localfile:/var/tmp/crawlerFiles/deepGreen/2352c02ad90a4513a0199564de10d9b4/2352c02ad90a4513a0199564de10d9b4.pdf | de |
dc.source.journal | Educational and Psychological Measurement | |
dc.source.volume | 81 | de |
dc.publisher.country | USA | de |
dc.source.issue | 2 | 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 | empirische Forschung | de |
dc.subject.thesoz | empirical research | en |
dc.subject.thesoz | Sozialforschung | de |
dc.subject.thesoz | social research | en |
dc.subject.thesoz | Verhaltensforschung | de |
dc.subject.thesoz | behavioral research | en |
dc.subject.thesoz | Messinstrument | de |
dc.subject.thesoz | measurement instrument | en |
dc.subject.thesoz | Skalenkonstruktion | de |
dc.subject.thesoz | scale construction | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-85349-3 | |
dc.rights.licence | Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung | de |
dc.rights.licence | Deposit Licence - No Redistribution, No Modifications | en |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10042034 | |
internal.identifier.thesoz | 10042041 | |
internal.identifier.thesoz | 10042860 | |
internal.identifier.thesoz | 10041769 | |
internal.identifier.thesoz | 10057951 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 319-339 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2602 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1177/0013164420940764 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 3 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
ssoar.wgl.collection | true | de |
internal.dda.reference | crawler-deepgreen-188@@2352c02ad90a4513a0199564de10d9b4 | |