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[journal article]

dc.contributor.authorTutz, Gerhardde
dc.date.accessioned2024-04-29T10:55:39Z
dc.date.available2024-04-29T10:55:39Z
dc.date.issued2022de
dc.identifier.issn1860-0980de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/93915
dc.description.abstractA comprehensive class of models is proposed that can be used for continuous, binary, ordered categorical and count type responses. The difficulty of items is described by difficulty functions, which replace the item difficulty parameters that are typically used in item response models. They crucially determine the response distribution and make the models very flexible with regard to the range of distributions that are covered. The model class contains several widely used models as the binary Rasch model and the graded response model as special cases, allows for simplifications, and offers a distribution free alternative to count type items. A major strength of the models is that they can be used for mixed item formats, when different types of items are combined to measure abilities or attitudes. It is an immediate consequence of the comprehensive modeling approach that allows that difficulty functions automatically adapt to the response distribution. Basic properties of the model class are shown. Several real data sets are used to illustrate the flexibility of the models.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherthresholds model; latent trait models; item response theory; graded response model; Rasch model; Vorwahl-Querschnitt (GLES 2013) (ZA5700 v2.0.0)de
dc.titleItem Response Thresholds Models: A General Class of Models for Varying Types of Itemsde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalPsychometrika
dc.source.volume87de
dc.publisher.countryUSAde
dc.source.issue4de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozMethodenforschungde
dc.subject.thesozmethodological researchen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozresponse behavioren
dc.subject.thesozFragebogende
dc.subject.thesozquestionnaireen
dc.subject.thesozModellde
dc.subject.thesozmodelen
dc.identifier.urnurn:nbn:de:0168-ssoar-93915-5
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10052193
internal.identifier.thesoz10035808
internal.identifier.thesoz10037914
internal.identifier.thesoz10036422
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1238-1269de
internal.identifier.classoz10105
internal.identifier.journal2456
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1007/s11336-022-09865-7de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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