TL;DR: The application of item response theory to practical testing problems is discussed in this article, where the authors present an example of the application of the theory to real-world testing problems in a practical setting.
Abstract: Applications of Item response theory to practical testing problems , Applications of Item response theory to practical testing problems , کتابخانه مرکزی دانشگاه علوم پزشکی تهران
TL;DR: Addressing shortcomings of the self-report Toronto Alexithymia Scale, two studies were conducted to reconstruct the item domain and resulted in the development of a new twenty-item version of the scale--the TAS-20.
TL;DR: In this paper, an unidimensional latent trait model for responses scored in two or more ordered categories is developed, which can be viewed as an extension of Andrich's Rating Scale model to situations in which ordered response alternatives are free to vary in number and structure from item to item.
Abstract: A unidimensional latent trait model for responses scored in two or more ordered categories is developed. This “Partial Credit” model is a member of the family of latent trait models which share the property of parameter separability and so permit “specifically objective” comparisons of persons and items. The model can be viewed as an extension of Andrich's Rating Scale model to situations in which ordered response alternatives are free to vary in number and structure from item to item. The difference between the parameters in this model and the “category boundaries” in Samejima's Graded Response model is demonstrated. An unconditional maximum likelihood procedure for estimating the model parameters is developed.
TL;DR: In this article, the authors introduce the concept of a scale and test homogeneity, reliability, and generalizability for total test scores, and propose a scaling theory for test scores.
Abstract: Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.