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Longitudinal Data Analysis LDA Books (1)

Longitudinal Data Analysis LDA Books (1). Applied Longitudinal Data Analysis for Epidemiology by Jos W. R. Twisk Statistics in Psychiatry by G. Dunn Longitudinal Data Analysis: Designs, Models and Methods by Catrien C.J.H. Bijleveld et al Models for discrete longitudinal data

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Longitudinal Data Analysis LDA Books (1)

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  1. Longitudinal Data AnalysisLDA Books (1) • Applied Longitudinal Data Analysis for Epidemiology • by Jos W. R. Twisk • Statistics in Psychiatry • by G. Dunn • Longitudinal Data Analysis: Designs, Models and Methods • by Catrien C.J.H. Bijleveld et al • Models for discrete longitudinal data • By Geert Molenberghs and Geert Verbeke • Longitudinal Data Analysis • By Donald Hedeker and Robert D.Gibbons • Epidemiological methods in life-course research • by Andrew Pickles, Barbara Maughan and Mike Wadsworth

  2. Longitudinal Data AnalysisLDA Books (2) • Latent Curve Models: A Structural Equation Perspective • by Kenneth A. Bollen and Patrick J. Curran • Group-based modeling of development • By Daniel S. Nagin • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence • by Judith D. Singer and John B. Willett • Applied Longitudinal Analysis • by Garrett M. Fitzmaurice, Nan M. Laird and James H. Ware • An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues and Applications • by Duncan, Duncan, Strucker, Li and Alpert

  3. Longitudinal Data AnalysisLDA Books (3) • Design and analysis of quality of life studies in clinical trials • by Diane L. Fairclough • Models for intensive longitudinal data • by Theodore A. Walls and Joseph L. Shafer • Non-parametric regression models for Longitudinal Data Analysis • by Hulin Wu and Jin-Ting Zhang • Multilevel and Longitudinal Modeling Using Stata 2nd edn • by Sophia Rabe-Hesketh and Anders Skrondal • Generalized Latent Variable Modeling:  Multilevel, Longitudinal, and Structural Equation Models • by Anders Skrondal and Sophia Rabe-Hesketh

  4. Books Dunn, G., Everitt, B., & Pickles, A. (1993). Modelling covariances and latent variables using EQS. London: Chapman & Hall. Dwyer, M., Feinlieb, P.L., & Hoffmeister, H. (Eds.). (1992). Statistical models for longitudinal studies of health. New York: Oxford. Embretson, S.E. (2007). Impact of measurement scale in modeling developmental processes and ecological factors. In T.D. Little, J.A. Bovaird, & N.A. Card (Eds.), Modeling contextual effects in longitudinal studies (pp. 63–87). Mahwah, NJ: Erlbaum.

  5. Books • L.M. Collins & J.L. Horn (Eds.), Best methods for the analysis of change. Washington, DC:American Psychological Association. • L.M. Collins & A. Sayer (Eds.), New methods for the analysis of change. Washington, DC:American Psychological Association. • von Eye, A., & Clogg, C.C. (Eds.). (1994). Latent variables analysis: Applications for developmental research. Thousand Oaks, CA: Sage. • Steyer, R., Krambeer, S.,&Hannöver,W. (2004). Modeling latent trait-change. In K. Van Montfort, H. Oud, & A. Satorra (Eds.), Recent developments on structural equation modeling: Theory and applications (pp. 337–357). Amsterdam: Kluwer.

  6. Little • Little, T.D., Bovaird, J.A., & Slegers, D.W. (2006). Methods for the analysis of change. In T.D. Little & D. Mroczek (Eds.), Handbook of personality development (pp. 181–211). Mahwah,NJ: Erlbaum. • Little, T.D., Preacher, K.J., Selig, J.P., & Card, N.A. (2007). New developments in latent variable panel analyses of longitudinal data. International Journal of Behavioral Development, 31,357–365. • Little, T.D., Schnabel, K.U.,&Baumert, J. (Eds.). (2000).Modeling longitudinal and multilevel data, practical issues, applied approaches,and specific examples.Mahwah, NJ: Erlbaum. • Card, N.A., & Little, T.D. (2007). Longitudinal modeling of developmental processes. International Journal of Behavioral Development, 31, 297–302. • Cole, D.A., & Maxwell, S.E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558–577.

  7. Muthén • Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika,55, 107–122. • Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In L.M. Collins & A. Sayer (Eds.), New methods for the analysis of change (pp. 291–322). Washington, DC:American Psychological Association. • Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55, 463–469.

  8. Ian Plewis Plewis, I, (1985). Analyzing change: Measurement and explanation using longitudinal data. Chichester: Wiley. Plewis, I. (1996). Statistical methods for understanding cognitive growth: A review, a synthesis, and an application. British Journal of Mathematical and Statistical Psychology, 49, 25–42. Plewis, I. (2005). Modelling behavior with multivariate multilevel growth curves. Methodology, 1, 71–80. Plewis, I., Vitaro, F., & Tremblay, R. (2006). Modelling repeated ordinal reports from multiple informants. Statistical Modelling,6, 251–263.

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