Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 6the outcome variable. Two growth factors are used in the model, arandom intercept, i, and a random slope, s.In the parameterization of the growth model shown here, the interceptsof the outcome variables are fixed at zero as the default. The residualvariances of the outcome variables are free to be estimated as thedefault. The residual covariances of the outcome variables are fixed atzero as the default. The means, variances, and covariances of theintercept and slope growth factors are free as the default.The second, third, fourth, and fifth | statements use the ON option toname and define the random slope variables in the model. The name onthe left-hand side of the | symbol names the random slope variable. Thestatement on the right-hand side of the | symbol defines the random slopevariable. In the second | statement, the random slope st is defined by thelinear regression of the dependent variable y1 on the time-varyingcovariate a21. In the third | statement, the random slope st is defined bythe linear regression of the dependent variable y2 on the time-varyingcovariate a22. In the fourth | statement, the random slope st is definedby the linear regression of the dependent variable y3 on the time-varyingcovariate a23. In the fifth | statement, the random slope st is defined bythe linear regression of the dependent variable y4 on the time-varyingcovariate a24. Random slopes with the same name are treated as onevariable during model estimation. The ON statement describes the linearregressions of the intercept growth factor i, the slope growth factor s,and the random slope st on the covariate x. The intercepts and residualvariances of, i, s, and st, are free as the default. The residual covariancebetween i and s is estimated as the default. The residual covariancesbetween st and i and s are fixed at zero as the default. The defaultestimator for this type of analysis is maximum likelihood with robuststandard errors. The estimator option of the ANALYSIS command canbe used to select a different estimator. An explanation of the othercommands can be found in Example 6.1.118