Summer Institute
   on Longitudinal Research
   August 14-16, 2006

Peter Bentler, Ph.D., University of California, Los Angeles

Presentation:

Cross-Lag Mean Structure Models vs. Latent Curve Structural Equation Models of Change

Selected references:

Bentler, P. M. (2005). Latent growth curves. In J. Werner. (Ed.), Zeitreihenanalysen, (pp. 13-36). Berlin: Logos.

Bentler, P. M., Newcomb, M. D., & Zimmerman, M. A. (2002). Cigarette use and drug use progression: Growth trajectory and lagged effect hypotheses. In D. B. Kandel (Ed.), Stages and Pathways of Drug Involvement (pp. 223-253). New York: Cambridge.

Biesanz, J. C., Deeb-Sossa, N., Papadakis, A. A., Bollen, K. A., & Curran, P. J. (2004).  The role of coding time in estimating and interpreting growth curve models.  Psychological Methods, 9, 30-52.

Burkholder, G. J., & Harlow, L. L. (2003). An illustration of a longitudinal cross-lagged design for larger structural equation models. Structural Equation Modeling, 10, 465-486.

Chou, C. -P., Bentler, P. M., & Pentz, M. A. (1998). Comparisons of two statistical approaches to study growth curves: The multilevel model and the latent curve analysis. Structural Equation Modeling, 5, 247-266.

Curran, P. J., & Bollen, K. A. (2001). The best of both worlds: Combining autoregressive and latent curve models. In L. M. Collins & A. G. Sayer (Eds.), New Methods for the Analysis of Change (pp. 107-135). Washington, DC: American Psychological Association.

McArdle, J. J., & Nesselroade, J. R. (2003). Growth curve analysis in contemporary psychological research. In I. B. Weiner, J. A. Schinka, & W. F. Velicer (Eds.), Handbook of psychology: Vol. 2. Research Methods in Psychology (pp. 447-480). Hoboken, NJ: Wiley.

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