Faculty
Scott E. Maxwell
Professor and Matthew A. Fitzsimon Chair
Ph.D., University of North Carolina-Chapel Hill
Profile
Scott Maxwell's research interests are in the areas of research methodology and applied behavioral statistics. Much of his recent work has focused on statistical power and accuracy in parameter estimation, especially in randomized designs. Another line of work has begun to investigate biases in cross-sectional analyses of longitudinal mediational processes. He is also very interested in the use of multilevel approaches to model statistical dependencies in longitudinal data as well as family data.
Recent Papers
Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2 nd ed.). Mahwah, NJ: Erlbaum.
Maxwell, S. E. (2004). The persistence of underpowered studies in psychological research: Causes, consequences, and remedies. Psychological Methods, 9, 147-163.
Kelley, K. & Maxwell, S. E. (2003). Sample size for multiple regression: Obtaining regression coefficients that are accurate, not simply significant. Psychological Methods, 8, 305-321.
Venter, A., Maxwell, S. E., & Bolig, E. (2002). Power in randomized group comparisons: The value of adding a single intermediate timepoint to a traditional pretest-posttest design. Psychological Methods, 7, 194-209.
Maxwell, S. E. (2000). Sample size and multiple regression analysis. Psychological Methods, 5, 434-458.
Howard, G. S., Maxwell, S. E., & Fleming, K. (2000). The proof of the pudding: An illustration of the relative strengths of null hypothesis, meta-analysis, and Bayesian analysis. Psychological Methods, 5, 315-332.
Rausch, J. R., Maxwell, S. E., & Kelley, K. (2003). Analytic methods for questions pertaining to a pretest posttest follow-up design. Journal of Clinical Child and Adolescent Psychology, 32, 467-486.
Kelley, K., Maxwell, S. E., & Rausch, J. R. (2003). Obtaining power or obtaining precision: Delineating methods of sample size planning. Evaluation & the Health Professions, 26, 258-287.
Yuan, K., & Maxwell, S. E. (2005). On the post hoc power in testing mean differences. Journal of Educational and Behavioral Statistics, 30, 141-167.
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.
Maxwell, S. E. , & Boker, S. M. (in press). Multilevel models of dynamical systems. In Boker, S. M., & Wenger, M. J. (Eds.), Data analytic techniques for dynamical systems in the social and behavioral sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
Maxwell, S. E., & Tiberio, S. (in press). Latent growth analysis and hierarchical linear modeling. In A. Ong & M. van Dulmen (Eds.), Handbook of methods in positive psychology. Oxford University Press.
Maxwell, S. E. (2005). Completely randomized designs. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science. New York: Wiley.
Maxwell, S. E. (2005). Randomized block designs. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science. New York: Wiley.
Contact Information
Office: 216 Haggar Hall
Notre Dame, Indiana 46556
Phone: (574) 631-5894
Email: smaxwell@nd.edu