|
|
 |
| Descriptives for clusters |
 
|
| Message/Author |
|
|
| EvavdW posted on Wednesday, November 01, 2017 - 8:55 am
|
|
|
Hi, I am working on a multilevel regression model with gender as predictor and several outcome measures.
Now, I would like to report the means and SD's for these outcome measures for males and females separately.
Is there an easy way to get this in Mplus?
I read about the cluster_mean option, but could not quite work it out.
Below is what I have currently, with Cito1 - Cito 5 being my outcome measures:
VARIABLE: NAMES ARE PN Gender Class1 Cito1 Cito2 Cito3 Cito4
Cito5;
USEV ARE Gender Class1 Cito1 Cito2 Cito3 Cito4 Cito5;
CLUSTER = Class1;
CLASSES = g(2);
knownclass = g(Gender = 0 1);
MISSING ARE ALL (999);
ANALYSIS: TYPE = mixture;
DEFINE: clusmean = CLUSTER_MEAN (Cito1 Cito2 Cito3 Cito4 Cito5);
With kind regards, Eva |
|
|
|
|
| You can do a TYPE=BASIC using the GROUPING option with gender as the grouping variable and obtain sample statistics for males and females separately. |
|
|
| EvavdW posted on Monday, November 06, 2017 - 8:00 am
|
|
|
Dear Linda, Thank you so much for the quick reply.
I've tried:
VARIABLE: NAMES ARE PN Gender x y;
USEV ARE Gender x y;
!CLUSTER = Class1;
CLASSES = g(2);
knownclass = g(Gender = 0 1);
MISSING ARE ALL (999);
ANALYSIS: TYPE = BASIC MIXTURE;
%overall%
x;
y;
%g#1%
x;
y;
%g#2%
x;
y;
But got the following error:
*** FATAL ERROR
CLASS 1 HAS 0 OBSERVATIONS.
When I look in my data file there are definitely participants with a score of 0. What may be the cause of the problem here?
With kind regards, Eva |
|
|
|
|
| Please send the files and your license number to support@statmodel.com. |
|
|
| Back to top |
|
|
