Statistical 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
Philip E. Austin (AUST) Building (Former CLAS)
|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).