EMA data with DSEM PreviousNext
Mplus Discussion > Dynamic Structural Equation Modeling >
 song hye sun posted on Sunday, March 08, 2020 - 10:36 am
Dear. Muthen.

I have an EMA data, which combines several observations to produce one latent variable Y.
A total of 65 people respond four times a day for a week and come up with the value each time they respond.

1. I'm not sure which of the two level time series or cross classified time series (N> 1) is more appropriate (see the presentation Johns Hopkins Workshops, 08-17-2017, Part 3 (Muthen)).

2. In the case of the two level time series, smoking example used two variables: urge and negative affect. is it the same as in my case?

3. In addition, my variable is a latent variable, but are the above two methods applicable? I considered latent growth model before.

4. If I were to intervene and divide it into two groups, would I add this to the 'between' command?

5. Can you recommend a paper that analyzes EMA data with DSEM?

Thank you very much for your time.
 Bengt O. Muthen posted on Sunday, March 08, 2020 - 3:59 pm
1. Sounds like you should use two-level modeling.

2. You mention a latent variable so perhaps you have several factor indicators measured at each time point.

3. You can do factor analysis DSEM.

4. See all the applied DSEM papers at

Back to top
Add Your Message Here
Username: Posting Information:
This is a public posting area. Enter your username and password if you have an account. Otherwise, enter your full name as your username and leave the password blank. Your e-mail address is optional.
Options: Enable HTML code in message
Automatically activate URLs in message