

Graphing growth cuves for different g... 

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Bill Dudley posted on Tuesday, September 23, 2008  2:52 pm



I am running quadratic latent curve models with time invariant predictors one is Binary (type of transplant – allo vs auto). I want to plot the curves for transplant Allo = 0 vs Allo = 1. I have Analysis: type= random ; MODEL: i s qoe2@0 oe3@2 oe4@5 oe5@8 oe6@11 oe7@14 oe8@17 oe9@20; i s q on allo; The regression coefficients for slope and quad are statistically significant I ON ALLO 0.035 … S ON ALLO 0.102 … Q ON ALLO 0.004 … Thus, the effect of allo =1 is to increase the slope by .102 and decrease the quad by .004. Question Are the regression coefficients (.102 and .004) applied to the Intercept s that are provided as follows I 0.062 … S 0.105 … Q 0.005 … Thus, do the intercepts represent the intercept, slope , and quad for those with Allo = 0. And are the curve parameters I would use for graphing the Allo= 1: Int = (.035+ .062) Slope = (.102 + .105) and quad = (005  .004) . OR do I look elsewhere and what TECH output do I need? 


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