Hi, I'm wondering if there's a way to plot adjusted probabilities within MPlus for the values of a categorical outcome. From my reading of the user guide it seems that "plot3" should be able to do this, but when I try it I only see four options in the graph module: histograms, scatterplots, item characteristic curves, and information curves. Am I missing something, or do I need to do this in another program? Thanks a lot.
Seth Frndak posted on Tuesday, September 08, 2015 - 8:15 pm
I have a similar question. Instead of using the PLOT function to graph the adjusted/conditional probabilities in a categorical growth model, would it be possible to use the estimates produced in the Mplus output to plot conditional growth by hand?
Here is an example based on UG example 8.4, changed to a non-mixture run.
After I run this example, I choose View Plots and select the plot “Sample proportions and estimated probabilities”. Then I choose “Plot estimated probabilities, conditional on a set of covariates”. Then I click Next and choose variable U1. Then I click Next. I click on “Name a set of values”. I will call this X=0. Then I doubleclick on X in the Values box and set it to 0. Then I click Finish. Now the plot shows the estimated probabilities conditional on X=0 for the 5 categories of U1. From the Plot menu, choose “Save plot data” and select a filename. I call this file “u1onx=0.dat”. This file contains the estimated probabilities for the 5 categories of U shown in the plot. The first column holds the x-values. The second columns holds the estimated probabilities.
Do this for U2, U3 and U4. Then you can combine the 4 plot data in an Excel file. Column 1 contains values for U1, column 2 contains values for U2, etc. Row 1 will be category 1, row 2 will be category 2, etc. Now you can plot the values across columns for each row.
Seth Frndak posted on Wednesday, September 16, 2015 - 7:04 pm
This is exactly what I was looking for. Thank you for your detailed response!
Seth Frndak posted on Wednesday, September 16, 2015 - 7:05 pm
If I were to make my predictors latent variables, is there still an option to plot the estimated probabilities?