Statistical Consulting Service

The Department of Psychology is pleased to provide statistical consulting to faculty, graduate students, and postdoctoral fellows (consulting is not available to undergraduates and members of other departments). Our consultants are available to assist with tasks ranging from advice on study design, selecting appropriate analytic techniques, and troubleshooting data analyses to strategizing analysis plans for grant proposals and other large-scale projects.

Appointments with consultants are bookable using Google Docs (view the current schedule for the next few weeks here. You can login to Google using our consulting account information to book yourself into an available timeslot. If you have not already received login information, please contact a consultant.

You will get the most out of a consulting meeting if you can come prepared to discuss the following: (1) your research questions and hypotheses. What problem are you trying to solve? What do you expect to find? (2) any preliminary work you’ve done or methods you’re considering using to analyze your data; and, if applicable, (3) analysis output, if you’re struggling to interpret it. If you’re working on something complex, reach out to a consultant in advance of your appointment with some preliminary information.

Cecilia Jorgenson

Office: SSRB 214E                      

My areas of strength include regression, multilevel modeling, factor analysis and structural equation modeling. I really enjoy learning different statistical procedures and take courses and attend workshops, which has given me familiarity with additional statistical methods such as categorical data analysis and latent transition analysis. Based on my PhD research, I have a strong interest in managing missing data and longitudinal data analysis. I work primarily with SPSS, SAS and Mplus but I am also familiar with other statistical software.

Craig Leth-Steensen

Office: LA A535

My academic interests are Adult Cognition and Decision Making, Cognitive Development, Computational Modeling, and Statistical Methods. I have taught quantitative-based, graduate-level courses in Advanced ANOVA, Advanced Regression, Logistic Regression and Categorical Data Analysis, Structural Equation Modeling, Psychometrics, and Connectionist Modeling. I have also studied Psychophysics and Multidimensional Scaling and am familiar with both Cluster Analysis and Latent Class Models as well as with HLM (particularly as it pertains to repeated measures ANOVA and regression designs). I can help run analyses in SPSS, MPlus, HLM, IRTPro, AMOS, and LISREL. I also have experience writing Matlab programs and have dealt a bit with running analyses in both R and SAS.