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Wenjuan Sang posted on Wednesday, December 03, 2014 - 10:48 am
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Hello, Sorry if this question is too basic. I am doing a latent profile analysis with 15 items (x1-x15), which is divided into 3 classes. As the sample size is smaller than 200, I want to do a Monte Carlo study to test the performance of the model. I went through the user guide and found example 7.3 should fit my case. However, I got a problem with changing the syntax. The example is: [c#1*1]; x1-x10*1; %c#1% [u1$1*2 u2$1*2 u3$1*-2 u4$1*-2]; [x1-x2*-2 x3-x4*-1 x5-x6*0 x7-x8*1 x9-x10*2]; %c#2% [u1$1*-2 u2$1*-2 u3$1*2 u4$1*2]; [x1-x2*2 x3-x4*1 x5-x6*0 x7-x8*-1 x9-x10*-2]; It seems that the case is for an even number sample. Would someone please tell me how to make a change? Thank you! |
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UG ex 7.9 would be more suitable given your continuous indicators. You say you have 3 classes so you would have to give information about a 3rd class as well, not only 2 classes. And I don't know what the u variables are in your application. |
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Wenjuan Sang posted on Saturday, December 06, 2014 - 1:00 pm
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Thank you so much! I checked that example and wrote as following. MONTECARLO: NAMES = X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15; GENERATE=X1-X15(1); NOBS = 167; NREPS = 100; SEED =12345; GENCLASSES = c(3); CLASSES = c (3); NCLASSES = 3; REPSAVE = ALL; SAVE= C:\LPA.dat; ANALYSIS: TYPE = MIXTURE; model population: %overall% [c#1*0]; %c#1% [X1-X15*1]; X1-X15*1; %c#2% [X1-X15*-1]; X1-X15*1; %c#3% [X1-X15*1]; X1-X15*1; model %overall% [c#1*0]; X1-X15*1; %c#1% [X1-X15*1]; %c#2% [X1-X15*-1]; %c#3% [X1-X15*1]; OUTPUT: TECH8 TECH9; Mplus showed that "The DATA command is not available in conjuction with the MONTECARLO command." I would be really appreciate if anyone could take a look of the syntax. |
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