Effects of sample size, ability distribution, and the length of Markov Chain Monte Carlo burn-in chains on the estimation of item and testlet parameters

dc.contributor.advisorDodd, Barbara Glenzingen
dc.contributor.committeeMemberSuh, Youngsuken
dc.creatorOrr, Aline Pintoen
dc.date.accessioned2011-07-25T16:04:01Zen
dc.date.available2011-07-25T16:04:01Zen
dc.date.issued2011-05en
dc.date.submittedMay 2011en
dc.date.updated2011-07-25T16:04:06Zen
dc.descriptiontexten
dc.description.abstractItem Response Theory (IRT) models are the basis of modern educational measurement. In order to increase testing efficiency, modern tests make ample use of groups of questions associated with a single stimulus (testlets). This violates the IRT assumption of local independence. However, a set of measurement models, testlet response theory (TRT), has been developed to address such dependency issues. This study investigates the effects of varying sample sizes and Markov Chain Monte Carlo burn-in chain lengths on the accuracy of estimation of a TRT model’s item and testlet parameters. The following outcome measures are examined: Descriptive statistics, Pearson product-moment correlations between known and estimated parameters, and indices of measurement effectiveness for final parameter estimates.en
dc.description.departmentEducational Psychologyen
dc.format.mimetypeapplication/pdfen
dc.identifier.slug2152/ETD-UT-2011-05-2684en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-05-2684en
dc.language.isoengen
dc.subjectItem response theoryen
dc.subjectTestlet response theoryen
dc.subjectTestleten
dc.subjectMarkov Chain Monte Carloen
dc.subjectIRTen
dc.subjectTRTen
dc.subjectMCMCen
dc.titleEffects of sample size, ability distribution, and the length of Markov Chain Monte Carlo burn-in chains on the estimation of item and testlet parametersen
dc.type.genrethesisen
thesis.degree.departmentEducational Psychologyen
thesis.degree.disciplineEducational Psychologyen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Artsen

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