Statistical Analysis at the Scholarly Commons

The Scholarly Commons is a wonderful resource if you are working on a project that involves statistical analysis. In this post, I will highlight some of the great resources the Scholarly Commons has for our researchers. No matter what point you are at in your project, whether you need to find and analyze data or just need to figure out which software to use, the Scholarly Commons has what you need!


The Scholarly Commons’ computers have a wide range of statistical analysis software for your choosing. Determining which software is most advantageous for your project can seem like a daunting task. Luckily, we have a wonderful post to help with that ”Stata vs. R vs. SPSS for Data Analysis” by graduate assistant, Abigail Sewall, highlights the pros and cons of these different software and additional resources to support each. Depending on your project and your personal preferences, this guide will help you choose what software is best for you. Below is a list of the statistical analysis software we have available for researchers in the Scholarly Commons:


IBM SPSS Amos 25

SAS 9.4

R (64-bit)


JMP Pro 12

Tableau Public 2018.1

Software Support

When you are just beginning to work with a new software, questions will probably arise. Nevertheless, the Scholarly Commons has many how-to guides on getting started with these software.

Getting Started with STATA

SPSS Tutorial

Introduction to SAS

Introduction to R

CITL Statistical Consultants

If you have more in-depth questions relating to statistical analysis  and you’d like to talk with someone, you can set up an appointment with the Center for Innovation in Teaching and Learning (CITL) Statistical Consultants. The Scholarly Commons is proud to partner with the CITL Data Analytics to provide this service for University of Illinois student, staff, and faculty. CITL Statistical Consultants host their consultations in the Scholarly Commons space. With social distancing guidelines in place for the Fall, these consultations will take place online in a virtual meeting room. CITL also offer workshops throughout the semester on how to use statistical and qualitative software. You can find a full schedule for the Fall 2020 semester and register for workshops here.

CITL offers consultations by appointment or by drop-in hours. We highly recommend scheduling an appointment to ensure that you have the necessary time, resources, and are matched with a consultant to best suit your project.

CITL Statistical Consultation Hours:

Monday: 10:00 am – 4:00 pm

Tuesday: 10:00 am – 4:00 pm

Wednesday: 10:00 am – 12:00 pm and 1:00 pm – 5:00 pm

Thursday:  10:00 am – 4:00 pm

Friday:  10:00 am – 4:00 pm

To request a consultation, you can fill out this form.

Virtual drop-in hours are Monday-Friday held in their Zoom drop-in room.

Of course, you can always start with sending the Scholarly Commons an email at or live chat with us on our Ask a Librarian service!

We are happy to help you figure you the assistance you may need.

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