Mplus Users Guide v6.. - Muthén & Muthén

NOMEANSTRUCTURE, 540–41NOMINALMonte Carlo, 701–2real data, 490–91non-convergence, 415–17non-linear constraints, 31–32, 615–18non-linear factor analysis, 63non-parametric, 185NOSERROR, 649–50not missing at random (NMAR)Diggle-Kenward selection model, 343–45pattern-mixture model, 345–46NREPS, 692nu, 661numerical integration, 418–21OBLIMIN, 536–40OBLIQUE, 536–40OBSERVEDINFORMATION, 545–47MEDIATOR, 560–61odds, 441–45ODLL, 543OFFADAPTIVE, 545BASEHAZARD, 542CHOLESKY, 542LISTWISE, 459–60MONITOR, 683ON, 578–81ADAPTIVE, 545BASEHAZARD, 542CHOLESKY, 542LISTWISE, 459–60MONITOR, 683optimization history, 656–57OPTSEED, 552ORTHOGONAL, 536–40outliers, 683OUTLIERS, 683OUTPUT command, 633–63parallel processes, 119–20parameter constraints. See constraintsparameter derivatives, 655parameterizationdelta, 75–76loglinear, 164–66, 167–68, 447–48theta, 34, 77, 108PARAMETERIZATION, 534–36parametric bootstrap, 659–60parametric proportional hazards, 137–38,138–39path analysiscategorical dependent variables, 33–34combination of censored, categorical, andunordered categorical (nominal) dependentvariables, 36–37combination of continuous and categoricaldependent variables, 35continuous dependent variables, 32–33PATMISS, 698PATPROBS, 698–99PATTERN, 499PATTERNS, 650–51PERTURBED, 560piecewise growth model, 115–16PLAUSIBLE, 463plausible values, 349–51, 463PLOT command, 679–88PLOT1, 679–80PLOT2, 680PLOT3, 680–81PlotsBayesian, 680missing data, 680survival, 680POINT, 559Poisson. See zero-inflated PoissonPON, 581–82pooled-within covariance matrix. Seesample covariance matricesPOPULATIONFINITE, 505MONTECARLO, 707population size, 505posterior, 534posterior predictive checks, 534potential scale reduction, 534, 561–62priors, 619–22747