Walk-In Schedule

Red LogoStatistical Consulting Services (SCS) is pleased to announce our free walk-in and online services! We provide immediate, in person or round-the-clock web-based statistical support for quick questions about grant proposals, journal articles, PhD. Dissertations, M.S. Theses, and undergraduate research projects. The walk-in hours and online service are active during the semester, beginning Tuesday, January 22, 2019 and ending on Friday, May 3, 2019. Walk-in hours are held in AUST 303, and the online submission form is available at

It is available to all UConn undergraduate and graduate students, postdocs, research fellows, and faculty members. We have expertise in statistical software, study design, statistical methodology, data analysis and visualization, and reporting of results.

Where We Are:

Philip E. Austin Building (Former CLAS), Room 303 or online at

Walk-in hours (January 22 – May 3, Spring 2019):

Monday: 12:00 PM – 2:00 PM
Tuesday: 1:00 PM – 3:00PM
Wednesday: 12:30 PM – 2:30 PM
Thursday: 11:00 AM – 1:00 PM
Friday: 12:00 PM – 2:00 PM

SCS Walk-In Service Hours

January 22 – May 3, 2019
Spring 2019
Philip E. Austin (AUST) Building (Former CLAS)
Room 303

Weekday Time of Day Consultant Topics and Software covered
Monday 12:00pm – 2:00pm Renjie Chen Analysis of Panel Data and Time Series Data, Mixed Effects Modeling, Missing Data, Multiple Imputation; R, SAS, JMP
Tuesday 1:00pm – 3:00pm Xiaokang Liu PCA, CFA, EFA, High-Dimensional Data, LASSO, FDA, q-values, Regression Analysis, MNOVA, MNCOVA, Variable Selection; R, SAS, MINITAB, SPSS
Wednesday 12:30pm – 2:30pm Daeyoung Lim Regression Analysis, SEM, Factor Analysis, Longitudinal data, Multilevel Modeling, Survival Analysis; Matlab, R, Python, SAS, SPSS, AMOS
Thursday 11:00pm – 1:00pm Jinjian Mu Bayesian Analysis, Regression Analysis, Design of Survey Questionnaire and Analysis of Survey Data, Mediation and Moderation Regressions; R, SAS, SPSS, Mplus
Friday 12:00pm – 2:00pm Yiming Zhang Regression Analysis, Power and Sample Size Calculation, Data Visualization, Longitudinal Data; R, SAS, SPSS, STATA

For downloadable pdf version of schedule, please go to SCS Walk-In Service Hours for Spring 2019

* SCS is jointly funded by Office of the Vice President for Research (OVPR), Dean’s Offices of CLAS and CAHNR, and Department of Statistics, UCONN

** Additionally, we provide comprehensive, ongoing consulting services. For this, please apply online at http://merlot.stat.uconn.edu/www/consulting/application.

*** Walk-in services are not available during Spring Recess (March 18 – 22, 2019).