The Impact of Prior Information on Bayesian Latent Basis Growth Model Estimation
Latent basis growth modeling is a flexible version of the growth curve modeling, in which it allows the basis coefficients of the model to be freely estimated, and thus the optimal growth trajectories can be determined from the observed data. In this article, Bayesian estimation methods are applied...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-08-01
|
| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/2158244017727039 |