Method of Item Parameter Estimation Based on Neural Networks
Yu Jia · 2008
To solve the problem on item parameter estimation when constructing item bank,a new method based on neural networks (NN) is proposed here. And by choosing three-parameter logistic model (3PLM),general regression neural networks (GRNN) and Monte Carlo as the item response theory (IRT) model,NN model and experimental method respectively,some simulation experiments are conducted. To inspect whether our method works well,a comparison is carried out between the NN method and traditional method,which indicates that the former is more advantageous,especially when the traditional method cancels its item prior constrains.