Interpretation of results with covari... PreviousNext Mplus
Discussion > Growth Modeling of Longitudinal Data >  Yvonne
Miller posted on Friday, December 04, 2009 - 9:33 am  I'm
investigating test scores of children in arithmetics at 3 time
points.  My model is i s| arith1@0 arith2@1 arith3@2 is ON
gender ses mig  I get significant effects of the covariates on
the intercept and the slope. How are the effects of covariates
on the the intercept are interpretated?  Can I say for example
that 1. girls have better scores at the beginning or does it
mean that 2. girls have better test scores over all 3
measurement points?   Linda K. Muthen posted on Friday, December
04, 2009 - 10:18 am You should watch the video for Topic 3 to
get a full description of growth modeling. The intercept growth
factor in your model is defined as initial status because the
time score of zero is at the first time point. If gender is
scored as girls being one, a significant effect of the
regression of i on gender says that girls started hi