ATLAS.ti Beginner and Intermediate Short Courses
Douglas Fernald, MA, Senior Instructor, Department of Family Medicine,
UC Denver – Anschutz Medical Campus Phone 303.724.9705
The Beginner Short Course is a 1-day introductory course for users with no ATLAS.ti experience or users with limited experience who seek a foundational understanding of the software’s 1) capabilities, 2) interface, 3) features, 4) basic techniques to use the software for analyzing qualitative data. This course is at no cost to participants.
The Intermediate Short Course is a one-day course for users with previous ATLAS.ti experience who seek to extend their understanding of the software’s 1) capabilities, 2) features, 3) more advanced techniques for analysis, and 4) strategies for working with their own data. This course is at no cost to participants.
This is not a methods course on qualitative data analysis.
Also, please note that one must be a member or become a CCTSI member (membership is free) in order to attend any of the above short courses.
Beginner Short Course
- Short introduction to using computers for qualitative data analysis
- Software overview
- Getting ready
- Working with text data
- Basic coding techniques
- Memoing and commenting
- Families and Filters
- Basic data management
- Looking ahead
Intermediate Short Course
- Review of the basic ATLAS.ti skills
- Overview of types of codes
- Coding techniques
- Code management
- Families (and filters)
- Supercodes (and Queries)
- Sense-making with codes: networks, links, and other tools
Qualitative Methods: basic knowledge of qualitative data and analysis methods.
General computer skills: Experience using windows and mouse (point-and-click) interface (Mac or PC); experience using word processing documents; some knowledge of file types including text documents and some video and audio files.
ATLAS.ti skills: Beginner Course: none. Intermediate Course: Beginner Course or other Atlas.ti experience using primary documents, codes, families, filters , memos, comments, navigating objects, generating output, and must have own dataset to work on.
Important note about data confidentiality: When using your own data in the classroom setting, please be sure to take any steps necessary to ensure the confidentiality of your data. While you do not have to display your data to others if you choose not to, it may limit the instructor’s ability to provide effective instruction.
The Beginner Short Course will be both lecture and interactive; the Intermediate Short Course will be lecture and interactive learning, including one-on-one instruction.
Computers in the Lab will have ATLAS.ti software installed for the classroom sessions. A free trial version is available at www.atlasti.com/download.html. We recommend participants in the Intermediate Short Course have a fully-licensed version of the software.