The role of coding time in estimating and interpreting growth curve models.

@article{Biesanz2004TheRO,
  title={The role of coding time in estimating and interpreting growth curve models.},
  author={Jeremy C Biesanz and Natalia Deeb-Sossa and Alison A Papadakis and Kenneth A. Bollen and Patrick J Curran},
  journal={Psychological methods},
  year={2004},
  volume={9 1},
  pages={30-52}
}
The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of receding time in growth curve models. Linear and quadratic growth model examples are provided, and the interpretation of estimates given a particular… CONTINUE READING

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