parameter.acov.DCM.Mplus.interaction.test


matrix of covariances of all model parameters. If <code>NULL</code> (the default) model parameters are not randomized
for each iteration of MCMC


Analysis of dichotomous response data to obtain attribute profile
estimates for respondents using Diagnostic Classification Model (DCM) and
Markov Chain Monte Carlo (MCMC) method. The estimation procedure uses a
loglinear cognitive diagnostic modeling (LDCM) framework that allows for
the estimation of a host of DCMs such as NIDO, NIDA, NC-RUM etc.

Diane Losardo

parameter.acov.DCM.Mplus.interaction.test: Covariance matrix of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction.

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