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Longitudinal Data Analysis LDA Books (1)

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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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