We help students and researchers organize, analyze, interpret, and present your quantitative, or qualitative data.
We support these software packages:
R provides a wide variety of statistical and graphical techniques and is highly extensible. Statistical techniques available include linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering. R is available for free an complies with a wide variety of UNIX platforms, Windows, and MacOS.
SAS can manage, view, and analyze complex data in a variety of formats. SAS can help you calculate descriptive statistics, cross-tabulation, regression, analysis of variance, survival analysis, multivariate techniques, econometric and time series procedures, operations research techniques.
SPSS is used for statistical analysis. It has a point-and-click interface making it easy to use. It can perform a wide range of analysis including descriptive statistics, analysis of variance, linear regression.
Stata a general-purpose statistical software package used by many businesses and academic institutions around the world. Stata's capabilities include data management, statistical analysis, graphics simulations, custom programming.
Nvivo is a qualitative data analysis (QDA) computer software package. It is designed for qualitative researchers working with very rich text-based and/or multimedia information, where deep levels of analysis on small or large volumes of data are required.
Services for faculty & instructors
We can support your teaching with:
- In-class instruction on using any of the software packages listed above.
- Getting started with R help guide.
- Getting started with SAS help guide.
- Getting started with SPSS help guide.
- Getting started with Stata help guide.
- Getting started with Nvivo help guide.
- NVivo10 Online Help
- NVivo Frequently Asked Questions
Need help acquiring or installing software? Visit the Computing and Communication Services (CCS) supported products page.