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IRT5 item IRTThese are a simple 5item IRT model built with and without a context effect used for illustrating Bayesian networks in the tutorial. These nets also appear in Chapter 6 of Bayesian Networks in Educational Assessment. All of these examples together can be found at http://pluto.coe.fsu.edu/BNinEA/Examples/IRT5 tarball (tarball,zip) 5 Item IRTThis example is a simple 5item IRT example. The proficiency variable, theta, is discritized into 5 levels and given a triangular distribution (which is close to normal). The conditional probabilities are created by evaluating the Rasch model at the 5 fixed values of theta. The difficulty parameters is increasing from Item 1 to Item 5. A variant network for use with EM learning is also available (Duanli, can you edit this, as I'm not sure what this one is for). Netica Network 5 Item IRT with context effectThis example adds a context effect? between Items 3 and 4. Marginal probabilities are adjusted so that they match those of the previous example. DibelloSamejima distribution illustrationThis is a simple illustration of the DiBelloSamejima? model for partial credit Invalid BibTex Entry! items. It is also an illustration of Netica?'s equation feature. The free floating nodes in the model are the difficulty? (B) and discrimination? parameters. You can change those and rebuild the tables to see the effects of those parameters. DiBelloSamejima example with 3level observable. DiBelloSamejima example with 4level observable. 