Scott E. Maxwell

Scott E. Maxwell

Professor and Matthew A. Fitzsimon Chair

Ph.D., University of North Carolina-Chapel Hill

(574) 631-5894

smaxwell@nd.edu

Corbett Family Hall

Notre Dame, IN 46556

Download CV

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 Publications

Wang, L., Zhang, Q., Maxwell, S. E., & Bergeman, C. S. (in press). On standardizing within-person effects: Potential problems of global standardization. Multivariate Behavioral Research.

Benjamin, D. J. et al. (2018). Redefine statistical significance. Nature Human Behaviour, 2, 6-10.

Anderson, S. F.*, Kelley, K., & Maxwell, S. E. (2017). Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty. Psychological Science, 28, 1547-1562.

Anderson, S. F.*, & Maxwell, S. E. (2017). Addressing the “replication crisis”: Using original studies to design replication studies with appropriate statistical power. Multivariate Behavioral Research, 52, 305-324.

Baird, R.*, & Maxwell, S. E. (2016). Performance of time varying predictors in multilevel models under an assumption of fixed or random effects. Psychological Methods, 21, 175-188.

Anderson, S. F.*, & Maxwell, S. E. (2016). There’s more than one way to conduct a replication study: Beyond statistical significance. Psychological Methods, 21, 1-12.

Yang, M.*, Wang, L., & Maxwell, S. E. (2015). Bias in longitudinal data analysis with missing data using typical linear mixed-effects modeling and pattern-mixture approach: An analytical illustration. British Journal of Mathematical and Statistical Psychology, 68, 246-267.

Wang, L., & Maxwell, S. E. (2015). On disaggregating between-person and within-person effects with longitudinal data using multilevel models. Psychological Methods, 20, 63-83.

Maxwell, S. E., Howard, G. S., & Lau, M. Y. (2015). Is psychology suffering from a replication crisis? What does “failure to replicate” really mean? American Psychologist, 70, 487-498.

Yang, M.*, & Maxwell, S. E. (2014). Treatment effects in randomized longitudinal trials with different types of non-ignorable dropout. Psychological Methods, 19, 188-210.