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.

Andrea Howard  

Office: SSRB 314-H                      

My areas of strength include measurement, factor analysis, structural equation modelling, multilevel modelling, and regression. I was first trained as a developmental psychologist, and consequently I have a strong background and interest in methods for longitudinal data analysis. Managing missing data and strategies for handing categorical data in longitudinal research are among the most frequently-asked topics I encounter in consulting. I work primarily in the SAS and Mplus software packages, but am also familiar with SPSS and HLM.

 

Andrew Smith  

Office: LA A539

My primary area of strength is in the area of categorical data analysis including Logistic Regression Analysis, Receiver Operator Characteristic (ROC) Analysis, and Signal-Detection based analyses. Formally trained as a social psychologist, I also have a strong background in regression analysis. In addition, I have some experience with multilevel modeling, factor analysis, and structural equation modeling. I work primarily with SPSS and Excel, but also have experience with MATLAB and R, and more limited experience with LISREL.

Deanna Whelan

Office: LA A825

My primary areas of strength include regression (moderation, simple slopes analysis, mediation, categorical variables within regression, etc.), multilevel modeling (also termed Hierarchical Linear Modeling, HLM), and measurement (including Item Response Theory, IRT, factor analysis, survey questionnaire development and validation). I am formally trained in personality and positive psychology. I love being involved early in the research planning stages this includes elements related to selecting psychometrically sound measures, power and sample size estimations, designing studies to maximize effect sizes, and exploring changes to designs that would alter the statistical tests required for later analyses. The most frequently asked topic is “what statistical test am I supposed to use.” I work primarily in SPSS, Excel, and HLM, but I also have experience with LISREL, and R, and more limited experience with MPlus.