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Showing 1 to 20 of 183 for “"item response theory"”.
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Some issues in item response theory
… the assumption of local independence (LI) in item response theory (IRT) models in the first three chapters, and differential item functioning (DIF) in IRT in the last chapter. A new term ""conditional trivariance"" for three items is defined, which is a measurement of joint local dependence …
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Contributions to Estimation in Item Response Theory
In the logistic item response theory models, the number of parameters tends to infinity together with the sample size. Thus, there has been a longstanding question of whether the joint maximum likelihood estimates for these models are consistent. The main contribution of this paper is the study of …
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Parsimonious item response theory modeling with different link functions
Traditional item response theory (IRT) models assume a symmetric error distribution and rely on symmetric (logit or probit) link functions to model the response probabilities. However, this assumption does not always hold in item response data. To explore the possible benefits of alternate link …
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Utilizing Multidimensional Item Response Theory to Examine Social Capital
… the use of mixed-format multidimensional item response theory (MIRT) analysis for assessing the latent factor structure of the Social Capital Rating Scale (SCRS). The rating scale, an instrument developed for measuring the parent involvement and the peer network of high school students, …
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Some fundamental issues in item response theory with applications
… and theoretical properties of conditional item pair covariances given a latent composite are thoroughly investigated. Such information is useful because estimates of such conditional covariances form the basic building blocks of several important psychometric procedures for assessing …
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ITEM RESPONSE THEORY ANALYSIS OF THE TOP LEADERSHIP DIRECTION SCALE
<p>Item response theory (IRT) offers several advantages compared to classical test theory (CTT) in providing additional information on psychometric qualities of the scale. My goal was to demonstrate the superiority of IRT as compared to CTT through two analyses of the Top Leadership Direction scale …
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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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Some Issues in Weak Local Independence in Item Response Theory
… for simulating locally dependent data, whose item pair dependencies relate directly to local dependence assessment procedures is discussed. This method is extended to allow for the simulation of local dependence that varies in magnitude across the examinee ability levels. The parameter that …
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Theory and applications of nonparametric regression in item response theory
… nonparametric estimation of latent abilities and item characteristic curves is considered. In particular, the joint asymptotic properties of ordinal ability estimation and kernel smoothed nonparametric item characteristic curve estimation is investigated under relatively unrestrictive assumptions …
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Some theoretical and applied results concerning item response theory model estimation
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Bayes unidimensional IRT modeling approach, the posterior distribution of examinee ability given test response is approximately normal for a long test. Under very general non-parametric assumptions, we …
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A comparison of kernel equating and item response theory true score equating
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] This study compares the accuracy of NEAT-design IRT true score equating (TIRT) and kernel equating (KE) in different conditions. The relative accuracy of three methods (Stocking-Lord transformation based TIRT (SL TIRT), …
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Assessing Unidimensionality of Test Items and Some Asymptotics of Parametric Item Response Theory
Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs
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An application of item response theory to language testing: Model-data fit studies
Even though the application of IRT to language testing has recently attracted much attention, no model-data fit research has been conducted to explore the appropriateness of IRT modeling in language testing. The tenability of the strong assumption of unidimensionality has not been studied …
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Item response theory and computerized adaptive test approaches to the narcissistic personality inventory
DSpace SAF Submission Ingestion Package generated from Vireo submission #12952 on 2018-09-27 at 11:37:42
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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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Using Item Response Theory to Bridge the Measurement Gap Between Normal Personality and Psychopathy
… same continuum. In the present studies, I used Item Response Theory to demonstrate that measures of both normal personality and psychopathy are indeed restricted in their measurement bandwidth. Furthermore, I demonstrated that such measurement restriction has implications for taxometric analyses …
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Effects of respondent training on self-report personality assessment: an item response theory approach
Within the item response theory (IRT) framework and inspired by the rater training literature, this study explored the effects of short online respondent training on personality item interpretation and responding and the number of response categories (i.e. polytomous vs. dichotomous) on item …
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Measurement equivalence of the Comprehensive Personality Scales across cultures: an item response theory approach
Within the item response theory (IRT) framework, this study compared cross-culturally different approaches to the assessment of differential item functioning (DIF) in two personality tests of the Comprehensive Personality Scale (Wang, 2013). A dominance IRT model (SGRM) and an ideal point model …
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Creating a parallel test for the Myers-Briggs Type Indicator using item response theory
… to which the addition of newly constructed items to the Form F item pool would improve the measurement precision of the four primary MBTI scales was assessed. Using item response theory (IRT) to quantify each scale's performance, findings indicate that the new items substantially increased …
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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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