Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 16STSCALE = random start scale; 5STSEED = random seed for generating random starts; 0OPTSEED =random seed for analysis;K-1STARTS =number of initial stage starts and number of 10 2final stage optimizations for the k-1 classmodel;LRTSTARTS =number of initial stage starts and number of 0 0 20 5final stage optimizations for TECH14;RSTARTS =number of random starts for the rotationalgorithm and number of factor solutionsdepends onanalysis typeprinted for exploratory factor analysis;DIFFTEST =file name;MULTIPLIER =file name;COVERAGE =minimum covariance coverage with missing .10data;ADDFREQUENCY = value divided by sample size to add to cells .5with zero frequency;ITERATIONS =maximum number of iterations for the Quasi- 1000Newton algorithm for continuous outcomes;SDITERATIONS = maximum number of steepest descent20iterations for the Quasi-Newton algorithm forcontinuous outcomes;H1ITERATIONS = maximum number of iterations for unrestricted 2000model with missing data;MITERATIONS = number of iterations for the EM algorithm; 500MCITERATIONS = number of iterations for the M step of the EM 1algorithm for categorical latent variables;MUITERATIONS = number of iterations for the M step of the EM 1algorithm for censored, categorical, and countoutcomes;RITERATIONS =maximum number of iterations in the rotation 10000algorithm for exploratory factor analysis;CONVERGENCE = convergence criterion for the Quasi-Newtonalgorithm for continuous outcomes;depends onanalysis typeH1CONVERGENCE = convergence criterion for unrestricted model .0001with missing data;LOGCRITERION = likelihood convergence criterion for the EMalgorithm;depends onanalysis typeRLOGCRITERION = relative likelihood convergence criterion for theEM algorithm;depends onanalysis typeMCONVERGENCE = convergence criterion for the EM algorithm; depends onanalysis typeMCCONVERGENCE = convergence criterion for the M step of the EM .000001algorithm for categorical latent variables;MUCONVERGENCE = convergence criterion for the M step of the EMalgorithm for censored, categorical, and countoutcomes;.000001522