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dc.date.accessioned2021-07-26T07:11:59Z-
dc.date.available2021-07-26T07:11:59Z-
dc.date.issued2015-
dc.identifier.citationMontebello, L. E. (2015) Analyzing nominal and ordinal categorical responses using item response models and proportional odd models (Master's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/78617-
dc.descriptionM.SC.STATISTICSen_GB
dc.description.abstractAn attitude survey towards divorce was administered to Maltese University students in order to obtain a more comprehensive picture of how University students perceive divorce issues. A number of items describing behaviors and mishaps that may lead to divorce were rated on a 4-point Likert scale by the participants to assess how much they agree with them. Two statistical models were fitted to relate the rating responses to the predictors, mainly, the Proportional Odds model and Item Response Theory model.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectStatisticsen_GB
dc.subjectDivorce -- Maltaen_GB
dc.subjectStatistical physicsen_GB
dc.titleAnalyzing nominal and ordinal categorical responses using item response models and proportional odd modelsen_GB
dc.typemasterThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Science. Department of Statistics and Operations Researchen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorMontebello, Lara Emma (2015)-
Appears in Collections:Dissertations - FacSci - 2015
Dissertations - FacSciSOR - 2015

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