parameter.means.DCM.kernel.Mplus.test


a numerical vector of calibrated item and structural kernel parameters. Values must be in the order of <code><a rd-options="" href="/link/GetParameterNames?package=dcmr&version=1.0" data-mini-rdoc="dcmr::GetParameterNames">GetParameterNames</a></code> if
parametrization method is Mplus and non-kernel parameters are used. If kernel parameters values are used must be in order of <code><a rd-options="" href="/link/GetKernelParameterNames?package=dcmr&version=1.0" data-mini-rdoc="dcmr::GetKernelParameterNames">GetKernelParameterNames</a></code>


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.means.DCM.kernel.Mplus.test: Kernel parameter estimates calibrated using Mplus for fully saturated model.

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