dc.contributor.author | Plieninger, Hansjörg | de |
dc.date.accessioned | 2023-01-30T16:01:20Z | |
dc.date.available | 2023-01-30T16:01:20Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1552-7425 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/84963 | |
dc.description.abstract | IR-tree models assume that categorical item responses can best be explained by multiple response processes. In the present article, guidelines are provided for the development and interpretation of IR-tree models. In more detail, the relationship between a tree diagram, the model equations, and the analysis on the basis of pseudo-items is described. Moreover, it is shown that IR-tree models do not allow conclusions about the sequential order of the processes, and that mistakes in the model specification can have serious consequences. Furthermore, multiple-group IR-tree models are presented as a novel extension of IR-tree models to data from heterogeneous units. This allows, for example, to investigate differences across countries or organizations with respect to core parameters of the IR-tree model. Finally, an empirical example on organizational commitment and response styles is presented. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | item response theory (IRT); IR-tree model; response style; organizational commitment; multiple-group model; International Social Survey Programme: Work Orientations IV - ISSP 2015 (ZA6770) | de |
dc.title | Developing and Applying IR-Tree Models: Guidelines, Caveats, and an Extension to Multiple Groups | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Organizational Research Methods | |
dc.source.volume | 24 | de |
dc.publisher.country | GBR | de |
dc.source.issue | 3 | 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 | ISSP | de |
dc.subject.thesoz | ISSP | en |
dc.subject.thesoz | Befragung | de |
dc.subject.thesoz | survey | en |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Modell | de |
dc.subject.thesoz | model | en |
dc.subject.thesoz | Umfrageforschung | de |
dc.subject.thesoz | survey research | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-84963-9 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10073563 | |
internal.identifier.thesoz | 10037910 | |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10036422 | |
internal.identifier.thesoz | 10040714 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 654-670 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2406 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1177/1094428120911096 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |