Dan McNeish, Ph.D., Quantitative Methodologist

Dan McNeish, Ph.D.

Dan completed his Ph.D. in Measurement and Statistics at the University of Maryland in 2015 and earned BA in Psychology from Wesleyan University (CT) in 2011.  In 2016, he worked as an assistant professor in the Department of Methodology and Statistics at Utrecht University in the Netherlands.
His research interests in applied statistics generally fall into four broad areas: (1) statistical models for correlated data; (2) methods for challenging data structures, small sample sizes in particular; (3) structural equation and latent growth models; (4) applying statistical methods used in other disciplines to behavioral science problems.
For a full list of publications, post-prints, and other academic activities, please refer to his website: