The Open Lab is located on the second floor of Davis Library within the Research Hub and maintains the same hours as Davis Library. Odum Institute statistical consultants are also available to assist with routine statistical and programming questions.
Monday – Friday, 9:00AM – 6:00PM
There are two network-connected computer stations loaded with many statistical, qualitative, and GIS software packages including:
- Qualitative Software (Atlas.ti 7, Atlas.ti 8, F4, MaxQDA Plus2018, and QSR NVivo 12)
- Quantitative Software (R 3.4.0, RStudio 1.0.136, SAS 9.3 (32-Bit), Stata SE 14, SPSS 24, TeXstudio 2.5.2, and Tinn-R 188.8.131.52)
The two instructional labs (Rooms 219 and 3010) maintained by the Odum Institute have numerous capabilities for presenting multimedia information. All audio and visual equipment is connected to a touch-panel screen at the front of the classroom. All computer stations are connected to an instructor-share drive on the Odum Institute file server. This connection is “read only” for computer station users. Course materials can be placed on this drive so that users can copy it to the local machine or read it without the ability to make edits.
All computers are loaded with many statistical, qualitative, and GIS software packages. See below for a complete list of software programs available in each classroom.
Software Available: Room 219
|Adobe Reader||IBM SPSS 24|
|Access 2016||RStudio 1.0.143|
|Excel 2016||SAS 9.3 (32-bit)|
|Publisher 2016||Stata IC 15|
|Word 2016||Tinn-R 184.108.40.206|
Software Available: Room 3010
|Access 2016||R 3.4.0||ATLAS.ti 7|
|PowerPoint 2016||TeXstudio 2.5.2||ATLAS.ti 8.0|
|Adobe Reader||RStudio 1.0.143||MAXQDA Plus2018|
|Firefox||GeoDa||QSR NVivo 11 (front 2 rows of computers only)|
|Excel 2016||SAS 9.3 (32-bit)|
|Publisher 2016||Tinn-R 220.127.116.11|
For UNC Faculty
The computer lab at the Odum Institute is available to faculty at UNC on a space-available basis. There is also a limit of three times per semester for regular classes. See the “Computer Labs” section for information on lab capabilities. Please contact Jill Stevens for more specific information.
For Organizations Outside UNC
The classroom is also available to organizations outside the university for a fee. See the “Computer Labs” section above for information on software availability in the lab. Please contact Jill Stevens for more specific information on pricing.
The distance classroom is available to organizations outside the university for a fee. Distance training allowing students in remote locations to participate in our classes. We offer flexible service types and pricing options to meet a range of needs. See below for further information on features of this advanced classroom.
This room is only available on a limited basis, 3 times per semester, to a group or person.
To reserve this room, or if you wish to have a demo or training, please contact Jill Stevens.
Please remember that if you have a group that will be using this room, that we are a working office. Noise must be kept to a minimum with participants inside the room. The furniture may be moved out of the room, but you will be responsible for moving the chairs in and out.
We offer flexible service types and pricing options to meet a range of needs. The Odum classroom uses a Tandberg system that connects through TCP/IP. If you have access to a compatible system, we can proceed with arranging a distance training or seminar on any of our short courses, including SAS, SPSS, Stata, ATLAS.ti, and MAXQDA. If you are interested in arranging for a distance short course or have questions about pricing, please contact Paul Mihas. If you have questions about compatible technologies, please contact Jon Crabtree. Scheduling a distance session is subject to availability of the classroom and instructors. To reserve this room for a class, please contact Jill Stevens.
Distance classroom options
- Half-day course
- Work sessions
- Topical seminars
Our instructors can present statistical computing and quantitative research methods, incorporating hands-on exercises, assuming remote students have access to software. These courses are ideal for small research teams. They are designed to help ensure that participants learn key principles of an analysis technique or software package and can apply these techniques to their own data collection and analysis. These courses can also incorporate skills integration and consultation sessions. That is, we can offer follow-up consultation, via the distance classroom or Web, to help distance students integrate new skills with their current research practices.
Work sessions are designed around a research team or department’s data. This kind of distance session would involve discussing the details of a particular project and working through specific issues. (For example, a qualitative research session would involve reviewing and fine-tuning a codebook.) There would most likely be pre-session phone calls or Web meetings to address objectives and facilitate the actual distance session.
We can offer a range of focused seminar options, lasting an hour or longer, on topics such as longitudinal data analysis or hierarchical linear modeling. These seminars can be introductory or more advanced, depending on your needs, and would be more distilled than the half-day courses.