Selected Book Chapters in Reverse Chronological Order

Below are a selection of book chapters. Please see my CV for a complete listing of all publications, and contact me directly if there is anything in particular I can provide.

Bauer, D.J., McNeish, D., Baldwin, S.A., & Curran, P.J. (in press). Analyzing nested data: Multilevel modeling and alternative approaches. To appear in A. Wright & M. Hallquist (Eds.), Handbook of research methods in clinical psychology. Cambridge University Press.

McNeish, D., Lane, S., & Curran, P.J., (in press). Monte Carlo simulation studies. To appear in G.R. Hancock & R.O. Mueller (Eds.), The reviewer’s guide to quantitative methods in the social sciences.

Bauer, D.J., & Curran, P.J. (2016). The discrepancy between measurement and modeling in longitudinal data analysis. In J. Harring & L. Stapleton (Eds.), Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications (pp. 3-38). Charlotte, NC: Information Age Publishing.

Howard, A.L., & Curran, P.J. (2014). Latent growth curve modeling. In A. C. Michalos (Ed.). Encyclopedia of Quality of Life and Well-Being Research (pp. 3515-3517). Dordrecht, Netherlands: Springer. [PDF]

Curran, P.J., Lee, T.H., Howard, A.L., Lane, S.T., & MacCallum, R.C. (2012). Disaggregating within-person and between-person effects in multilevel and structural equation growth models. In J. Harring & G. Hancock (Eds.) Advances in Longitudinal Methods in the Social and Behavioral Sciences (pp. 217-253). Charlotte, NC: Information Age Publishing. [PDF]

Curran, P.J., McGinley, J.S., Serrano, D., & Burfeind, C. (2012). A multivariate growth curve model for three-level data. In H. Cooper (Ed.) APA Handbook of Research Methods in Psychology, Volume 3 (pp.335-358). Washington, DC: American Psychological Association. [PDF]

Chassin, L., Curran, P.J., Wirth, R.J., Presson, C.C., & Sherman, S.J. (2009). Developmental trajectories of cigarette smoking from adolescence to adulthood: An overview and relations to indicators of tobacco dependence. In Phenotypes and Endophenotypes: Foundations for Genetic Studies of Nicotine Use and Dependence (pp.189-244). Tobacco Control Monograph No. 20. Bethesda, MD: U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute. NIH Publication No. 09-6366, August, 2009. [PDF]

Hussong, A.M., Curran, P.J., Moffitt, T.E., & Caspi, A. (2008). Testing turning points using latent growth curve models: Competing models of substance abuse and desistance in young adulthood.  In P. Cohen (Ed.), Applied data analytic techniques for turning points research (pp. 81-104).  New York: Routledge. [PDF]

Curran, P.J., Edwards, M.C., Wirth, R.J., Hussong, A.M., & Chassin, L. (2007). The incorporation of categorical measurement models in the analysis of individual growth. In T. Little, J. Bovaird, & N. Card (Eds.), Modeling Ecological and Contextual Effects in Longitudinal Studies of Human Development (p.89-120). Mahwah, NJ: LEA. [PDF]

Curran, P.J., Bauer, D.J, & Willoughby, M.T. (2006). Testing and probing interactions in hierarchical linear growth models. In C.S. Bergeman & S.M. Boker (Eds.), The Notre Dame Series on Quantitative Methodology,  Volume 1: Methodological Issues in Aging Research (pp.99-129). Mahwah, NJ: Lawrence Erlbaum Associates. [PDF]

Curran, P.J., & Hussong, A.M. (2002). Structural equation modeling of repeated measures data. In D. Moskowitz & S. Hershberger (Eds.), Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications, (pp. 59-86). New York: Erlbaum Associates. [PDF]

Curran, P.J., & Bollen, K.A. (2001). The best of both worlds: Combining autoregressive 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. [PDF]

Curran, P.J. (2000-b). A latent curve framework for studying developmental trajectories of adolescent substance use. In J. Rose, L. Chassin, C. Presson, & J. Sherman (Eds.), Multivariate Applications in Substance Use Research, (pp. 1-42). Hillsdale, NJ: Erlbaum. [PDF]

West, S.G., Finch, J.F., & Curran, P.J. (1995).  Structural equation models with non-normal variables: Problems and remedies.  In R. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues and Applications, (pp. 56-75).  Newbury Park, CA: Sage. [PDF]