Mplus Users Guide v6.. - Muthén & Muthén

Examples: Confirmatory Factor Analysis AndStructural Equation ModelingFor EFA factors, the intercepts and residual variances of the factorindicators are estimated and the residuals are not correlated as thedefault. The intercepts are not held equal across time as the default.The means of the factors are fixed at zero at both time points and thevariances of the factors are fixed at one as the default. In this examplebecause the factor loadings are constrained to be equal across time, thefactor variances are fixed at one at the first time point and are free to beestimated at the other time point. The factors are correlated as thedefault under the oblique GEOMIN rotation. The PWITH statementspecifies that the residuals for each factor indicator are correlated overtime. The default estimator for this type of analysis is maximumlikelihood. The ESTIMATOR option of the ANALYSIS command canbe used to select a different estimator. An explanation of the othercommands can be found in Example 5.1.EXAMPLE 5.27: MULTIPLE-GROUP EFA WITHCONTINUOUS FACTOR INDICATORSTITLE: this is an example of multiple-group EFAwith continuous factor indicators with nomeasurement invarianceDATA: FILE IS ex5.27.dat;VARIABLE: NAMES ARE y1-y10 group;GROUPING IS group (1 = g1 2 = g2);MODEL: f1-f2 BY y1-y10 (*1);[f1-f2@0];MODEL g2: f1-f2 BY y1-y10 (*1);[y1-y10];OUTPUT: TECH1;y1y2 y3 y4 y5 y6 y7 y8 y9 y10f1f293