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Showing 1 to 19 of 19 for “"item parameter"”.
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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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Item parameter estimation of a two-dimensional generalized Mirt model
Ackerman and Spray's two-dimensional generalized model considers the degree of compensation between two abilities. Their model contains the multidimensional 2PL compensatory model and the Sympson partial compensatory model as special cases. In this study, an MMLE/EM approach (the Bock and Aitkin …
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A stepwise test characteristic curve method to detect item parameter drift
An important assumption of item response theory (IRT) based equating is that the item parameters should be invariant over different testing occasions. Sometimes, however, item parameters do not remain invariant due to factors other than sampling error, and this is termed item parameter drift (IPD). …
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Student-Group Item Parameter Drift Impact on Individual and Aggregate Observed Scores
… research into the impact of student-group item parameterdrift (SIPD) —referred to as subpopulation item parameter drift in previous research— on abilityestimates and proficiency classification accuracy when occurring in the discrimination parameterof a 2-PL item response theory (IRT) model. …
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Implementation of Optimal Design for Item Calibration in Computerized Adaptive Testing (Cat)
Item calibration in small sample conditions is an important research and practical issue. This thesis aims to solve this issue by implementing a promising method, optimal design. Contrary to traditional random item selection, optimal design matches examinees and pretest items for maximal …
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Cognitive Diagnostic Model, a Simulated-Based Study: Understanding Compensatory Reparameterized Unified Model (CRUM)
… cognitive models, referred to as compensatory reparameterized unified model (CRUM) under the log-linear model family of CDM, was investigated. In order for practitioners to implement these models, their item parameter recovery and examinees' classifications need to be studied in detail. A series …
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DIMTEST Enhancements and Some Parametric IRT Asymptotics
The joint consistency of item and ability parameter 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 …
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A Comparison of Bayesian Estimation Techniques in a Multidimensional Two-Parameter Partial Credit Item Response Model
… Maximum Likelihood (MML) estimation method 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 …
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Assessment and Comparison of Techniques for Transforming Parameters to a Common Metric in Item Response Theory
… techniques for transforming two sets of parameters to a common metric in item response theory were evaluated. These techniques include three techniques that estimate the transformation by equating the first two moments of the distributions of estimated difficulty parameters. Another three …
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A Comparison of Item Parameters across Item Types
Seven item formats from a professional licensure examination program (n=4,706) were evaluated to determine whether there are significant differences in item parameter estimates based on item formats. The item formats were standard multiple choice, multiple choice with a graphic or exhibit attached, …
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Deconstructing a domain into its cognitive attributes: test construction and data analysis
… and I explain the process of constructing a 50-item multiple-choice assessment that will be used to determine examinee mastery of the attributes. For the analysis of the examination data, I will present the item parameter estimates, examinee parameter estimates, and model fit statistics that …
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A comparison of traditional and IRT factor analysis.
This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm …
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An Automated Test Assembly Approach Using Item Response Theory to Enhance Evidence of Measurement Invariance
… a latent trait, test developers must select items that together demonstrate desirable psychometric properties. Automated test assembly (ATA) algorithms allow test developers to systematically compare possible item combinations based on the test’s goals. ATA algorithms afford flexibility to …
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The Development, Pilot, and Field Test of the Core HIV/AIDS Knowledge Assessment for Undergraduate and Graduate Students in Counseling-Related Degree Programs
… Phase 1 involved developing an initial pool of items; Phase 2 involved an expert review for content validation as well as a pilot-test; Phase 3 involved field testing the CHAKA. The field-test involved 343 undergraduate and graduate students at Southern Illinois University. Item response theory …
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New methods of online calibration for item bank replenishment
"Item parameter calibration is important for tests based on item response theory, because the scoring, equating, bias analysis of the test, and item selection in adaptive tests are all based on the item parameters. As a test is continuously administered, item calibration needs to be conducted for …
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The Robustness of Rasch True Score Preequating to Violations of Model Assumptions Under Equivalent and Nonequivalent Populations
… and nonequivalent populations. Dichotomous item responses were simulated using a compensatory two dimensional (2D) three parameter logistic (3PL) Item Response Theory (IRT) model. The Rasch model was used to calibrate difficulty parameters using two methods: Fixed Parameter Calibration (FPC) …
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Testing the Assumption of Sample Invariance of Item Difficulty Parameters in the Rasch Rating Scale Model
… model, it is mathematically proven that the item difficulty estimates are independent of the sample of respondents. The purpose of this study was to test the robustness of the Rasch model with regards to its ability to maintain invariant item difficulty estimates when real (data that does not …
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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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A case for multiple item response theory: The Cancer Health Literacy Measure-Breast and Cervical Cancer-Uruguay
… lives. This study addresses this gap by using item response theory (IRT) to examine and refine the first Uruguayan breast and cervical cancer measure, the Cancer Health Literacy Measure-Breast and Cervical Cancer-Uruguay (CLM-BCC). This measure assessed women’s cultural and conceptual …