Power of Latent Growth Modeling for Detecting Group Differences in Linear Growth Trajectory Parameters

Author:

Fan Xitao

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Modelling and Simulation,General Decision Sciences

Reference17 articles.

1. Bryk, A. S. & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.

2. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

3. Cook, T. D. & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis issues for field studies. Chicago: Rand McNally.

4. Curran, P. J. (2000). A latent curve framework for the study of developmental trajectories in adolescent substance use. In J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 1-42). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

5. Duncan, T. E., Duncan, S. C., Strycker, L. A., Li, F. & Alpert, A. (1999). An introduction to latent variable growth curve modeling. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

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