

Category: SAS GCM power 
Below are collections of SAS macros to calculate power for growth curve analysis with/without missing data. These macros are licensed under the GNL General Public License Version 2.0. You can use/modify/distribute those macros. For questions or comments, please contact Johnny Zhang at zhiyongzhang(@)nd.edu. It would be appreciated if you cite the macros in the following way:
Zhang, Z., & Wang, L. (2009). Power analysis for growth curve models using SAS. Behavior Research Methods, 41(4), 10831094. Request a copy Download a copy
The complete simulation results for Zhang & Wang (2009) can be found here Power plot final results online.htm. 

Contents 




The SAS power analysis Macros for an exponential growth curve model

The macros estimate the power for evaluting parameters in an exponential growth curve model. R=10000 are recommended. In this example, the mean change between the iniital status and the asymptotic level is tested. It is recommended that a single replication of data is first tested to observe the behavior of convergence. The PROC NLMIXED is used here.
The power estimation for the exponential growth curve model can be very slow. 





