Continuation ratio model for polytomous responses with censored like latent classes

Simple item page
dc.catalogadorpva
dc.contributor.authorCarrasco Ogaz, Diego
dc.contributor.authorTorres Irribarra, David
dc.contributor.authorGonzález Burgos, Jorge Andrés
dc.date.accessioned2023-06-29T16:28:57Z
dc.date.available2023-06-29T16:28:57Z
dc.date.issued2023
dc.description.abstractPolytomous item responses are prevalent in background or context questionnaires of International large-scale assessments (ILSA). Responses to these types of instruments can vary in their symmetry or skewness. Zero inflation of responses can lead to biased estimates of item parameters in the response model and also to a downward bias in the conditional model when the zero inflated component is not accounted for in the model. In this paper, we propose to use a mixture continuation ratio response model to approximate the non-normality of the latent variable distribution. We use responses to bullying items from an ILSA study, which typically present positive asymmetry. The present model allows us to distinguish bullying victimization risk profiles among students, retrieve bullying victimization risk scores, and determine the population prevalence of the bullying events. This study also aims to illustrate how to fit a mixture continuation ratio model, including complex sampling design, thus expanding the modeling tools available for secondary users of large-scale assessment studies.
dc.fechaingreso.objetodigital2023-06-29
dc.fuente.origenORCID
dc.identifier.doi10.1007/978-3-031-27781-8_22
dc.identifier.eisbn978-3-031-27781-8
dc.identifier.isbn978-3-031-27780-1
dc.identifier.urihttps://doi.org/10.1007/978-3-031-27781-8_22
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/73998
dc.information.autorucEscuela de Psicología; Carrasco Ogaz, Diego; 0000-0002-1195-6206; 133361
dc.information.autorucEscuela de Psicología; Torres Irribarra, David; S/I; 120988
dc.information.autorucFacultad de Matemáticas; González Burgos, Jorge Andrés; 0000-0003-0415-3795; 15102
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final256
dc.pagina.inicio243
dc.publisherSpringer
dc.relation.ispartofWiberg, M., Molenaar, D., González, J., Kim, JS., Hwang, H. (eds). Quantitative Psychology. IMPS 2022. Springer Proceedings in Mathematics & Statistics, vol 422. Springer, Cham.
dc.rightsacceso restringido
dc.subjectContinuation ratio modeles_ES
dc.subjectPolytomous itemses_ES
dc.subjectItem response theoryes_ES
dc.subjectBullyinges_ES
dc.subjectLatent classeses_ES
dc.subjectMixture modelses_ES
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleContinuation ratio model for polytomous responses with censored like latent classeses_ES
dc.typecapítulo de libro
sipa.codpersvinculados133361
sipa.codpersvinculados120988
sipa.codpersvinculados15102
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Continuation Ratio Model for Polytomous.pdf
Size:
101.29 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Capítulos de libros