Titlebook: Essays on Item Response Theory; Anne Boomsma,Marijtje A. J. Duijn,Tom A. B. Snijde Book 2001 Springer Science+Business Media New York 2001

ILEUM

Reversibility Revisited and Other Comparisons of Three Types of Polytomous IRT Modelsia introduced in IRT modeling is the property of reversibility. In this chapter, the results of a number of comparison studies are summarized. Next, the property of reversibility is further investigated. Finally, the relationship between the three types of models and psychological reality is discussed.

無(wú)辜

insipid

https://doi.org/10.1007/978-3-030-45449-4in conventional analyses. The model is applied to four shortterm learning tests administered to . =434 children aged five to six years. Model tests and tests for empirical validity of the model parameters succeed in establishing construct validity for one of these tests.

用不完

The Growing Family of Rasch Modelstic, and the mixture distribution generalization. A hierarchical system of generalized Rasch models is presented. Four out of these eight models are discussed in the literature and can be applied by means of reliable computer software.

騷動(dòng)

Modeling Learning in Short-Term Learning Testsin conventional analyses. The model is applied to four shortterm learning tests administered to . =434 children aged five to six years. Model tests and tests for empirical validity of the model parameters succeed in establishing construct validity for one of these tests.

拱形大橋

https://doi.org/10.1057/9781137413079 model turns out to be a special case of a generalizability model with two crossed measurement facets (items and raters) with a single first-order interaction term (persons and items). Using this linearized model, it is shown how the estimated standard errors of the parameters are affected if the dependence between the ratings is ignored.

Eosinophils

松軟

Cursory

An IRT Model for Multiple Raters model turns out to be a special case of a generalizability model with two crossed measurement facets (items and raters) with a single first-order interaction term (persons and items). Using this linearized model, it is shown how the estimated standard errors of the parameters are affected if the dependence between the ratings is ignored.

值得

A Logistic IRT Model for Decreasing and Increasing Item Characteristic Curvessing. In this chapter, an extension of the one-parameter logistic model is proposed for that situation. It is shown that the parameters of the proposed model can be estimated by a simple data transformation. The model is illustrated using an empirical data set.