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ATLAS.ti Short Courses


ATLAS.ti is qualitative data analysis software designed to help manage and analyze non-numerical data such as text, video, audio, and graphics. ATLAS.ti supports a variety of analytical approaches, assisting users to systematically analyze their qualitative data. ATLAS.ti provides common analytical tools such as codes and memos along with more powerful tools to explore data, work in teams, and advance one’s analysis.

 

​​Beginner ATLAS.ti Short Course​​​

​Intermediate ATLAS.ti Short Course - TEAMWORK
Date: December 18, 2017
Time: ​1:00 pm – 4:30 pm
Location: AMC Library, 
Teaching Lab 2 
Class size: 20 
(Only registered participants can attend) 
No cost to participants
Date: December 20, 2017
Time: ​1:00 pm – 4:30 pm
Location: AMC Library, 
Teaching Lab 2 
Class size: 20 
(Only registered participants can attend) 
No cost to participants​
 

 

ATLAS.ti Short Course

Instructor

Douglas Fernald, MA, Senior Instructor, Department of Family Medicine,
CU Denver – Anschutz Medical Campus Phone 303.724.9705

Description

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 1-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.

These are not methods courses on qualitative data analysis. This is training on the Windows version of ATLAS.ti.

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.

Goals
​Beginner Short Course Intermediate Short Course: TEAMWORK
  • ​Software overview
  • Getting ready
  • Working with text data
  • Basic coding techniques
  • Memoing and commenting
  • Basic data management
  • Groups and filters
  • Output, queries, and networks
  • ​Review of basic skills
  • Ground rules for team work
  • Management
  • Coding with teams
  • Analysis with teams
  • HU merging and other team tools
  • One-on-one assistance​
 
Requirements

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.

Methods

Short Courses are mostly interactive, allowing trainees to practice using the software and ask questions. There is a brief orientation lecture at the start of each course.  There is time at the end of each course for individual consultation.​

Resources

Computers in the Lab will have ATLAS.ti software installed for the classroom sessions. Download a free trial version of the ATLAS.ti software. We recommend participants in the Intermediate Short Course have a fully-licensed version of the software.

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