Parameter Estimation for Finite Mixtures of Generalized Partial Credit Models


Христов, Любомир (2008) Parameter Estimation for Finite Mixtures of Generalized Partial Credit Models Internaional Conference on Computer Systems and Technlologies – CompSysTech'2008, Gabrovo


 We consider a finite length test and assume that each item has graded response categories which satisfy the Generalized Partial Credit Model (GPCM) from the Item Response Theory [1-4] and also that there exist population classes. We give a parameter estimation procedure for this finite GPCM mixture, based on the EM algorithm and test the model with simulated data. The paper contains complete (and formal alternative to [1]) derivation of the basic model formulas.
  Статия
 Item Response Theory, Generalized Partial Credit Model, EM algorithm


Природни науки, математика и информатика

Natural sciences, mathematics and informatics

 Издадено
  4727
 Любомир Христов

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