2016-02-09 Reading Day

[andkov]

For today's meeting, I propose to focus on the following papers:

1. Rast, P., & Hofer, S. M. (2014). Longitudinal design considerations to optimize power to detect variances and covariances among rates of change: Simulation results based on actual longitudinal studies. Psychological methods, 19(1), 133. full text
2. Hertzog, C., von Oertzen, T., Ghisletta, P., & Lindenberger, U. (2008). Evaluating the power of latent growth curve models to detect individual differences in change. Structural Equation Modeling, 15(4), 541-563. full text
3. Hertzog, C., Lindenberger, U., Ghisletta, P., & Oertzen, T. V. (2006). On the power of multivariate latent growth curve models to detect correlated change. Psychological methods, 11(3), 244. full text

The purpose of the meeting is to help each other understand these papers. In the preparation of the meeting we co-edit the following notebooks:

1. rast-hofer-2014
2. hertzog-et-al-2008
3. hertzog-et-al-2006

[andkov]

• let's keep in mind about longitudinal design
• error collection mechanism
• sparsity in data results in models based on small number of data points