Mplus Users Guide v6.. - Muthén & Muthén

Examples: Monte Carlo Simulation StudiesThe default estimator for this type of analysis is maximum likelihoodwith robust standard errors. An explanation of the other commands canbe found in Examples 12.1 and 12.4.EXAMPLE 12:12: MONTE CARLO SIMULATION STUDYFOR A MULTIPLE GROUP EFA WITH CONTINUOUSFACTOR INDICATORS WITH MEASUREMENTINVARIANCE OF INTERCEPTS AND FACTOR LOADINGSTITLE: this is an example of a Monte Carlosimulation study for a multiple group EFAwith continuous factor indicators withmeasurement invariance of intercepts andfactor loadingsMONTECARLO:NAMES ARE y1-y10;NOBSERVATIONS = 500 500;NREPS = 1;NGROUPS = 2;MODEL POPULATION:f1 BY y1-y5*.8 y6-y10*0;f2 BY y1-y5*0 y6-y10*.8;f1-f2@1;f1 WITH f2*.5;y1-y10*1;[y1-y10*1];[f1-f2@0];MODEL POPULATION-g2:f1*1.5 f2*2;f1 WITH f2*1;y1-y10*2;[f1*.5 f2*.8];MODEL: f1 BY y1-y5*.8 y6-y10*0 (*1);f2 BY y1-y5*0 y6-y10*.8 (*1);f1-f2@1;f1 WITH f2*.5;y1-y10*1;[y1-y10*1]; [f1-f2@0];MODEL g2: f1*1.5 f2*2;f1 WITH f2*1;y1-y10*2; [f1*.5 f2*.8];OUTPUT: TECH9;In this example, data are generated and analyzed according to a multiplegroup EFA model with continuous factor indicators with measurement389