Global ETD Search
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Showing 1 to 9 of 9 for “"Polytomous Item"”.
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Assessing The Dimensionality of Polytomous Item Exams
<p> Unidimensionality is a main assumption for Item Response Theory (IRT) models that are applied to statewide standardized tests for purposes such as scoring, equating, scaling, and DIF analyses. Thus, it is important that the unidimensionality evaluation of tests be efficiently and effectively …
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Pseudo-likelihood estimation of multidimensional polytomous item response theory models
This Dissertation was approved for publication on 2016-06-24 at 13:03.
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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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Item Selection Methods in Polytomous Computerized Adaptive Testing
… importance of administering adaptive tests with polytomous items is in great need. With regard to the applicability of adaptive testing using polytomous IRT models, adaptive testing can use polytomous items of either rating scales, or in some testing situations of multiple choice. Additionally, …
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New nonparametric statistical procedures for analyzing bias/DIF and dimensionality in item response data
… required by much of the currently used item response theory (IRT) methodologies. In the first part of this thesis, a further and non-trivial practical refinement of DIMTEST(Stout, 1987; Nandakumar & Stout, 1993) is made to assess latent trait unidimensionality for mixed dichotomous and …
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A Comparison of IRT and Rasch Procedures in a Mixed-Item Format Test
… the effects of test length (10, 20 and 30 items), scoring schema (proportion of dichotomous ad polytomous scoring) and item analysis model (IRT and Rasch) on the ability estimates, test information levels and optimization criteria of mixed item format tests. Polytomous item responses to 30 …
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Some theoretical and applied developments to support cognitive learning and adaptive testing
… ideal responses that would arise if skills and items generated item responses through a purely deterministic conjunctive process. An alternative to employing these latent class models is to minimize the distance between observed item response patterns and ideal response patterns, in a …
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Extension of the item pocket method allowing for response review and revision to a computerized adaptive test using the generalized partial credit model
… the test to each examinee and selecting items that are not too difficult or too easy based on the examinees’ interim ability estimate and responses to previous items. These benefits come at the cost of the flexibility to move through the test as an examinee would with a Paper and Pencil …
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Loglinear Models as Item Response Models
For analyzing item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear …