Introductory And Intermediate Growth Models - Mplus

Further Readings On Growth AnalysisWith Categorical OutcomesFitzmaurice, G.M., Laird, N.M. & Ware, J.H. (2004). Appliedlongitudinal analysis. New York: Wiley.Gibbons, R.D. & Hedeker, D. (1997). Random effects probit andlogistic regression models for three-level data. Biometrics, 53,1527-1537.Hedeker, D. & Gibbons, R.D. (1994). A random-effects ordinalregression model for multilevel analysis. Biometrics, 50, 933-944.Muthén, B. (1996). Growth modeling with binary responses. In A. V.Eye, & C. Clogg (Eds.), Categorical variables in developmentalresearch: methods of analysis (pp. 37-54). San Diego, CA:Academic Press. (#64)Muthén, B. & Asparouhov, T. (2002). Latent variable analysis withcategorical outcomes: Multiple-group and growth modeling inMplus. Mplus Web Note #4 (www.statmodel.com).209References(To request a Muthén paper, please email bmuthen@ucla.edu.)Analysis With Longitudinal DataIntroductoryBollen, K.A. & Curran, P.J. (2006). Latent curve models. A structuralequation perspective. New York: Wiley.Collins, L.M. & Sayer, A. (Eds.) (2001). New methods for the analysis ofchange. Washington, D.C.: American Psychological Association.Curran, P.J. & Bollen, K.A. (2001). The best of both worlds: Combiningautoregressive and latent curve models. In Collins, L.M. & Sayer, A.G.(Eds.) New methods for the analysis of change (pp. 105-136). Washington,DC: American Psychological Association.Duncan, T., Duncan S. & Strycker, L. (2006). An introduction to latentvariable growth curve modeling. Second edition. Lawrence Erlbaum: NewYork.Goldstein, H. (2003). Multilevel statistical models. Third edition. London:Edward Arnold.210105