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Is there a way to specify a censored prior, or a prior distribution with support over a defined range, using the "MODEL PRIORS" command? I am estimating 2-PL IRT models and would like to use a prior for the discrimination parameters (loadings) that censors negative values. |
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The only prior available in that case would be the normal prior but you can try using model constraint with inequality that forces positive values model constraint: L>0; |
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