Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Item Response Model"”.
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A Study of the Robustness of the Three-Parameter Item Response Model
… to investigate the use of the three-parameter item response model on psychological test data which violated the model's assumptions of large sample sizes, long tests and test unidimensionality. The accuracy of the person ability and item characteristic curve parameter estimates derived by the …
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Dichotomous and polytomous item response model estimation using the marginal maximum likelihood and the EM algorithm
Item Response Theory is a set oflatent variable techniques specifically designed to model the interaction between a respondent's latent trait/ability and the test items' characteristics such as difficulties, discrimination powers and guessing liabilities. The Item Response Theory framework …
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A Comparison of Bayesian Estimation Techniques in a Multidimensional Two-Parameter Partial Credit Item Response Model
… for parameter estimation in relatively simple item response models. However, extant literature is lacking on the investigation of Bayesian parameter estimation approaches for a multidimensional two parameter partial credit (M2PPC) model, therefore this simulation study investigated the …
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An investigation of the effects of test length on short-form basic skills competency tests developed by using the one-parameter item response model/
… tests. developed by using the oneparameter item response model. Using the i tern responses of approximately 36,000 students to 75 items on a functional reading test, item parameters were estimated with the one-parameter i tern response model. Three nonoverlapping short-form tests of 10, 20, …
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Cluster Analysis for Cognitive Diagnosis: Theory and Applications
Latent class models for cognitive diagnosis often begin with specification of a matrix that indicates which attributes or skills are needed for each item. Then by imposing restrictions that take this into account, along with a theory governing how subjects interact with items, parametric …
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A Bayesian Markov Chain Monte Carlo approach to the generalized graded unfolding model estimation: the future of non-cognitive measurement
… Previous research has concluded that ideal point item response theory (IRT) models are more appropriate than dominance IRT models for measuring non-cognitive variables such as personality, vocational interests, attitudes, person-environment fit (e.g., person-job fit), etc. Although a couple of …
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Latent trait estimation for item bundle structures
Tests comprising item bundles, (i.e., groups of items related to common passages, paragraph, or graphs), have been treated as if they measure only a general trait, ignoring the within bundle dependencies. The consequences of not taking into account the specificity of each group of items are, in …
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The Politics of Constitutional Review: Evidence from the European Court of Justice
… of judges. I develop a general statistical model for aggregate data produced by subsets of deciders by extending the item-response model to account for selective participation in decisions. In addition, I explicitly model other known features of the parameters of the item-response model to …
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Item parameter drift and online calibration
An important assumption of item response theory based computerized adaptive assessment is item parameter invariance. Sometimes, however, item parameters are not invariant across different test administrations due to factors other than sampling error; and this phenomenon is termed item parameter …
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Calibration Efficacy of Three Logistic Models to the Degrees of Reading Power Test Using Residual Analysis
… (DRP) calibrate their test using an item response model called the Rasch or one-parameter logistic model. The relationship between the use of the Rasch model in calibration of the DRP and the use of the DRP as a component of the Virginia Literacy Passport Testing Program (LPT) is …
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Toward Culturally Responsive and Equitable Testing: Innovative Psychometric Analyses on Contextualized Measurement and Adaptive Testing
… on cultural characteristics of contextualized items, students, and multigroup fairness from empirical and simulated datasets. The first study contributed to the understanding of culturally valid and equitable contextualized items, by implementing a coding rubric of item contexts followed by an …
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Integrative Biomarker Identification and Classification Using High Throughput Assays
… to identify biomarkers predictive to therapy response or survival by integrating multiple assays including gene expression, methylation and copy number data through penalized regression. To identify key cancer-specific genes accounting for multiple mechanisms of regulation, we have developed …