Statistics

Because many of my research questions in psychology are not amenable to experimental designs, I have become interested in statistics and computational statistics. I particularly focus on structural equation models, mixed effects models, and data visualization. My own work is almost exclusively done in R; however, when I am collaborating with others I am comfortable working with Mplus, EQS, or SAS.

In 2011, I joined the UCLA Institute for Digital Research and Education Statistical Consulting Group. One aspect I enjoy as a consultant is having the opportunity to hear about and assist with research from departments all over campus. In addition to my work as a consultant, I have tutored graduate psychology statistics at UCLA, I am an active member of the R community with over 1,250 responses on the R-help listserv, and answer questions on stackoverflow .

Reviews

This is some of the feedback I have received from clients I have worked with.  The packages included EQS, Mplus, R, SAS, and Stata with problems anywhere from data management, power analysis, and regression models to complex mixed effects models and latent variable models.  For full disclosure, I do get some lower ratings (6s and 7s) but comments are optional and less happy clients never seem to leave any feedback.

Projects

Right now I do not have any particular projects going on.  I have taught a number of mini-courses on introductory statistics to small groups.  I have also led several one session seminars using R.  As I do more of these and create more resources, I am hoping to put together cohesive sets (lectures, examples, exercises, etc.) on specific topics.  On the far distant horizon, I am hoping to use these as chapters in a free (as in speech and as in beer) book on introductory statistics for the social sciences.  This would be roughly modelled after various open source software projects, and ideally would be something of a collaborative/community project.