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 20 of 155 for “"IRT"”.
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Comparing Elo, Glicko, IRT, and Bayesian IRT Statistical Models for Educational and Gaming Data
… most accurate skill estimates using the Bayesian IRT (item response theory) one-parameter logistic (1PL) model, regardless of whether educational or gaming data were used. This held true for all sample sizes with small numbers of items. However, the Elo and the non-Bayesian IRT 1PL models were …
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DIMTEST Enhancements and Some Parametric IRT Asymptotics
… estimation remains a challenging problem in IRT parametric modeling. Although many simulation studies have been conducted on the item and ability parameter estimates obtained by joint maximum likelihood estimation which is implemented in LOGIST (Wingersky, Bartaon, & Lord, 1982) procedure, …
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Interest item diagnostics through IRT: an application of GPCM and tree-based IRT models to contemporary measures of interests
Item Response Theory (IRT) is a contemporary test evaluation technique that is frequently used in the fields of achievement and aptitude testing. However, IRT research within the field of vocational interest test evaluation is nascent at best. This dissertation advances the use of IRT in vocational …
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A comparison of traditional and IRT factor analysis.
… of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm (MMLE-EM). Dichotomous item response data was generated under the 2-parameter normal ogive model (2PNOM) using PARDSIM software. Examinee …
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Fast EM Based Posterior Approximation for IRT Item Parameters
… of the parameters in item response theory (IRT) models is routinely accomplished using marginalized Bayes modal estimation (MBME) as implemented through standard IRT software, such as BILOG-MG. However, checking IRT model fit is an on-going area of research, with no one method in wide use. …
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Bayesian Estimation of Multi-unidimensional Graded Response IRT Models
Item response theory (IRT) has gained an increasing popularity in large-scale educational and psychological testing situations because of its theoretical advantages over classical test theory. Unidimensional graded response models (GRMs) are useful when polytomous response items are designed to …
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A Model That Combines IRT and Latent Class Models
… of the widely used Item Response Theory (IRT) and Latent Class models by combining them both. The weakness of IRT is that it is unable to express cognitive structure whether that is rule of operations or particular misunderstanding, or to give descriptive information of knowledge possessed …
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Computerized Adaptive Testing and Equating Methods With Nonparametric IRT Models
The flexible forms of nonparametric IRT models make test equating more challenging. Though linear equating under parametric IRT models is obvious and appropriate, it might not be appropriate for nonparametric models. Two approaches are proposed for test equating and examined through simulation as …
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Applications of computational statistics in cognitive diagnosis and IRT modeling
… of the parameters for the Unified Cognitive/IRT Model are studies. A calibration procedure for the Unified Model is then proposed. This procedure uses the marginal maximum likelihood estimation approach and utilizes the EM algorithm. It differs from other calibration procedures for IRT models …
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Comparison of concurrent and separate multidimensional IRT linking of item parameters.
… there may be construct shift between grades, the IRT assumption of unidimensionality would appear implausible. There are a few studies comparing separate Multidimensional Item Response Theory (MIRT) linking methods, however, none of them have compared concurrent calibration and separate MIRT …
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COMPARING THREE ESTIMATION METHODS FOR THE THREE-PARAMETER LOGISTIC IRT MODEL
… METHODS FOR THE THREE-PARAMETER LOGISTIC IRT MODEL MAJOR PROFESSOR: Dr. Yanyan Sheng Different estimation procedures have been developed for the unidimensional three‐parameter item response theory (IRT) model. These techniques include the marginal maximum likelihood estimation, the fully …
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A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models
… popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS). While the former has been used with fitting various IRT models, the latter is relatively new, calling for the research to …
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A Comparison of IRT and Rasch Procedures in a Mixed-Item Format Test
… 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 items for 1000 examinees were simulated using the generalized partial-credit model and SAS …
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The Exploration of the Relationship Between Guessing and Latent Ability in IRT Models
… successful guessing and latent ability in IRT models. A new IRT model was developed with a guessing function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared with the new 2PL-Guessing model …
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New model-data fit indices for item response theory (IRT): an evaluation and application
DSpace SAF Submission Ingestion Package generated from Vireo submission #8327 on 2015-09-29 at 14:59:01
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Evaluation of the Phase 2A IRT Network in respect to the Principles of Transport Justice
… groups are still residing on the city outskirts, far away from potential job opportunities, including the central business district. These groups are disproportionately affected by the long travel times and consequently higher travel costs, resulting in a large percentage of their time and …
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Impacts of Ignoring Nested Data Structure in Rasch/IRT Model and Comparison of Different Estimation Methods
… structure in Rasch/1PL item response theory (IRT) model via a two-level and three-level hierarchical generalized linear model (HGLM). Currently, Rasch/IRT models are frequently used in educational and psychometric researches for data obtained from multistage cluster samplings, which are more …
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The development and validation of effect size measures for IRT and CFA studies of measurement equivalence
… assessed using item response theory (IRT) or confirmatory factor analytic (CFA) techniques. For both methods, the identification of biased items typically involves statistical significance tests based on the chi-square distribution or empirically derived rules of thumb for determining …
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Infrared thermography (IRT) for the assessment of microvascular skin blood flow in a specialist connective tissue disease unit
… To establish standardised infrared thermography (IRT) within a specialist connective tissue disease unit, assessing its utility: • for the evaluation of Raynaud’s Phenomenon (RP) in clinical rheumatology and research • for the detection of active localised scleroderma (LS) lesions in paediatric …
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THE IMPACT OF ANCHOR ITEM EXPOSURE ON MEAN/SIGMA LINKING AND IRT TRUE SCORE EQUATING UNDER THE NEAT DESIGN
… equating process in the item response theory (IRT), the recovery of equating true scores and linking coefficients, slope and intercept, were assessed under various combinations of testing conditions using bias and mean squared error (MSE). Three testing conditions were manipulated in this …
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