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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorBrinkhuis, Matthieu
dc.contributor.authorVries, Wiebe de
dc.date.accessioned2023-04-12T00:00:58Z
dc.date.available2023-04-12T00:00:58Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/43774
dc.description.abstractIn this thesis, we have analysed multiple-choice and text questions within faculties using deviation profiles. Three methods were used to calculate these deviation profiles, a naive percentage-based, an IRT-based approach and a proportional IRT-based approach. The results of these analyses were contradictory. Further research is needed to examine whether examinees score better on multiple-choice or text questions. We also analysed differential item functioning for two groups based on their preferred language. The result of this analysis was that within some faculties, there seems to be DIF present within tests. Further research is needed to verify whether this is true for the entire test set. We also discuss future works based on this thesis and the test set used.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn this thesis, we have analysed multiple-choice and text questions within faculties using deviation profiles. Three methods were used to calculate these deviation profiles, a naive percentage-based, an IRT-based approach and a proportional IRT-based approach
dc.titleBalance in test results : Ways higher education students reach test scores within Utrecht University
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsbalance;test;results;item response model;item response theory; analysis
dc.subject.courseuuArtificial Intelligence
dc.thesis.id15626


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