Papers by Juan C Bustamante
Two theoretical approaches are usually employed for the fitting of ordinal data: the underlying v... more Two theoretical approaches are usually employed for the fitting of ordinal data: the underlying variables approach (UV) and the item response theory (IRT). In the UV approach, limited information methods [generalized least squares (GLS) and weighted least squares (WLS)] are employed. In the IRT approach, fitting is carried out with full information methods [Proportional Odds Model (POM), and the Normal Ogive (NOR)]. The four estimation methods (GLS, WLS, POM and NOR) are compared in this article at the same time, using a simulation study and analyzing the goodness-of-fit indices obtained. The parameters used in the Monte Carlo simulation arise from the application of a political action scale whose two-factor structure is well known. The results show that the estimation method employed affects the goodness-of-fit to the model. In our case, the IRT approach shows a better fitting than UV, especially with the POM method.
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... Jorge Niño, Profesor Universidad de Los Andes Táchira, Dr. Pedro Rincón Gutiérrez. Polit. .... more ... Jorge Niño, Profesor Universidad de Los Andes Táchira, Dr. Pedro Rincón Gutiérrez. Polit. ... Pedro Sayago Rojas, Director Ejecutivo de la Cámara de Comercio de Cúcuta Dr.Yesid Navas Peñaranda, Director de CORPONOR. Page 4. 4 ...
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Papers by Juan C Bustamante