when using saving FScores from a growth mixture model, among other information two sets of individual latent growth paramteres are saved. The second set uses the prefix c_. What is the difference between the two? Thanks.
If I measure the same factor over time (with identical indicators), and want to introduce the change in this factor over time to predict the outcome of interest at each time, how do I do this? Is it possible to subrtact the factor scores between times for each individual when specifying the model?
IY is the factor score for IY. IY_SE is the standard error of the factor score for IY.
Violet Xu posted on Tuesday, April 08, 2014 - 7:53 pm
Thank you, Linda. I have a follow-up question. From the output, the variance of IY and SY were 2.673 and 1.606, respectively. However, when I simply ran descriptive statistics, the variances of these two factor scores were 1.44 and 0.27, respectively. Thus, I am wondering whether I missed anything here?
Additionally, what is the relationship between the factor score of IY to the threshold of each individual?
We are fitting a LGC model (not mixture) and want to plot slope factor scores (save = fscores). However, all the slope values were negative, which sounds odd given that factor mean should be set to zero. Am I missing something or is there an error in our analysis? In our LGC model we have used free time scores and also estimated an interaction between intercept and slope factors on an outcome (if that has something to do with this problem).