Role of time-varying variables in lat... PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
 Tyrah X. J. Li posted on Sunday, July 24, 2016 - 11:26 pm
Hi Experts,

I am new to latent growth curve models, and for examples I read from Mplus users guide, it seems time invariant variables are often used to explain the Intercept and Slope of the overall trajectory.

I am not sure what part of trajectory time-varying variables explain?

Do time-varying variables affect the Intercept and the Slope?

 Jon Heron posted on Monday, July 25, 2016 - 1:36 am
Hi Tyrah

time-varying variables predict the actual repeated measures. As such they enable you to tease apart within- and between- person effects.

Patrick Curran and colleagues have a number of papers and a book chapter on these models.

e.g. Hussong, A.M., Curran, P.J., Moffitt, T.E., Caspi, A., & Carrig, M.M. (2004). Substance abuse hinders desistance in young adults' antisocial behavior. Development and Psychopathology, 16, 1029-1046.
 Tyrah X. J. Li posted on Monday, July 25, 2016 - 11:12 pm
Hi Jon,

Thanks! This is a great recommendation! After reading the paper, I understand more about the latent models.

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