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Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range of polytomous models available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major types of polytomous IRT models. This focuses on the...
Persistent link: https://www.econbiz.de/10009447862
Broadening the term augmented testing to include a combination of multiple measures to assess examinee performance on a single construct, the issues of IRT item parameter and proficiency estimates were investigated. The intent of this dissertation is to determine if different IRT calibration...
Persistent link: https://www.econbiz.de/10009466042
As item response theory (IRT) has developed and is widely applied, investigating the fit of a parametric model becomes an important part of the measurement process when implementing IRT. The usefulness and successes of IRT applications rely heavily on the extent to which the model reflects the...
Persistent link: https://www.econbiz.de/10009467878
Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were...
Persistent link: https://www.econbiz.de/10009468231
A Monte Carlo simulation study investigated the effect of scoring format, item parameterization, threshold configuration, and prior ability distribution on the accuracy of ability estimation given various IRT models. Item response data on 30 items from 1,000 examinees was simulated using known...
Persistent link: https://www.econbiz.de/10009475047
The problem with which this study is concerned is articulating all possible CT3 and KR21 reliability measures for every case of a 5x5 binary matrix (32,996,500 possible matrices). The study has three purposes. The first purpose is to calculate CT3 for every matrix and compare the results to the...
Persistent link: https://www.econbiz.de/10009475051
Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item response data has important advantages over classical analysis of item tetrachoric correlations, a serious limitation of the method is its reliance on fixed-point Gauss-Hermite (G-H) quadrature...
Persistent link: https://www.econbiz.de/10009476619
Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item response data has important advantages over classical analysis of item tetrachoric correlations, a serious limitation of the method is its reliance on fixed-point Gauss-Hermite (G-H) quadrature...
Persistent link: https://www.econbiz.de/10009476754
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...
Persistent link: https://www.econbiz.de/10009477625
Chapter 1 is concerned with confidence interval construction for the mean of a long-range dependent time series. It is well known that the moving block bootstrap method produces an inconsistent estimator of thedistribution of the normalized sample mean when its limiting distribution is not...
Persistent link: https://www.econbiz.de/10009477845