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Conducting Bayesian Analysis Online Using jags
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Built-in models_2PL
!Model Let \(y_{ij}, i=1,\ldots,N, j=1,\ldots,T\) denote the response for person \(i\) on item \(j\) that takes value 0 or 1. The 2PL model can be written as {{%% \[ y_{ij} \sim B(p_{ij}) \] \[ \log\frac{p_{ij} }{1-p_{ij} } = \alpha_j(\theta_i - \beta_j) \] \[ \theta_i \sim N(0,1) \] %%}} where \(\theta_i\) is the latent trait for person \(i\), \(\beta_j\) is the item difficulty parameter and \(\alpha_j\) is the item discrimination parameter for item \(j\).
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. Last changed: 2024/12/10 23:04
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Webjags