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Showing 1 to 20 of 71 for “"Item response theory (IRT)"”.
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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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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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Refinement of Stout's Procedure for Assessing Latent Trait Unidimensionality
… of measuring an individual's ability is based on Item Response Theory (IRT). One of the most critical assumptions on which this IRT methodology is based is "unidimensionality". In general this assumption means that the items measure one and only one dimension or ability. In practice, however, this …
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An item response theory-based statistical procedure for detecting concurrent internal bias in ability tests
… internal bias occurring concurrently in several items in an ability test. Concurrent internal bias (CIB) is considered in a nonparametric multidimensional item response theory (IRT) model which models both an ability intended to be measured by the test (target ability) and nuisance determinant …
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Identifying and Understanding Examinee Behaviors in Item Response Data that Compromise Psychometric Quality
… responder behaviors (e.g., demonstrating response styles, carelessness, and possessing misconceptions) that compromise psychometric quality and impact the interpretation and use of assessment results. Identifying these behaviors can help researchers understand and minimize their …
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Item Bias in the Verbal Segment of the Scholastic Aptitude Test (Sat) for High School Students in the United States Virgin Islands
This dissertation reports the findings of an item bias study. The study was undertaken using the modified three parameter item response theory (IRT) technique first proposed by Linn and Harnisch (1981) and recently validated by Shepard, Camilli, and Williams (1985). The population of interest was …
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A Model That Combines IRT and Latent Class Models
… to overcome the weaknesses 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 …
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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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The Strength of Multidimensional Item Response Theory in Exploring Construct Space that is Multidimensional and Correlated
… the parameter estimates obtained from two item response theory (IRT) models: the 1-PL IRT model and the MC1-PL IRT model. Several scenarios were explored in which both unidimensional and multidimensional item-level and personal-level data were used to generate the item responses. The Monte …
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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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Detecting Local Item Dependence in Polytomous Adaptive Data
A rapidly expanding arena for item response theory (IRT) is in attitudinal and health-outcomes survey applications, often with polytomous items. In particular, there is interest in computer adaptive testing (CAT). Meeting model assumptions is necessary to realize the benefits of IRT in this …
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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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Optimizing Classification Decisions for Paper-and-Pencil and Computer Adaptive Tests
… was to examine the degree to which using an item response theory (IRT)
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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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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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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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ITEM-ANALYSIS METHODS AND THEIR IMPLICATIONS FOR THE ILTA GUIDELINES FOR PRACTICE: A COMPARISON OF THE EFFECTS OF CLASSICAL TEST THEORY AND ITEM RESPONSE THEORY MODELS ON THE OUTCOME OF A HIGH-STAKES ENTRANCE EXAM
… Practice requires language testers to pretest items before including them on an exam, or when pretesting is not possible, to conduct post-hoc item analysis to ensure any malfunctioning items are excluded from scoring. However, the guidelines are devoid of guidance with respect to which …
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Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models
Item response theory (IRT) models are a conventional tool for analyzing both small scale and large scale educational data sets, and they are also used for the development of high-stakes tests such as the Scholastic Aptitude Test (SAT) and the Graduate Record Exam (GRE). When estimating these models …
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The development and validation of effect size measures for IRT and CFA studies of measurement equivalence
… equivalence is most appropriately 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 …
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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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