Qualitative Data Analysis using ATLAS.ti: A Short Course
A 3-Day Livestream Seminar Taught by Corey Abramson, Ph.D.
This workshop will provide both a conceptual background and practical experience in computer-assisted qualitative data analysis (CAQDA) using ATLAS.ti. The workshop begins by examining the core elements common to all CAQDA, regardless of methodological orientation, discipline/profession, or platform. After instruction in the fundamental aspects of CAQDA, the course turns to the logic of the ATLAS.ti program and how it functions as a tool for CAQDA.
The workshop consists of both instruction and hands-on exercises in ATLAS.ti. By the end of the course, you will have all the conceptual and practical tools necessary to use ATLAS.ti in your current or future projects involving qualitative data.
Please note that while we will discuss analyzing various data sources, and how to integrate ATLAS.ti into workflow, this is NOT a class in qualitative data collection.
Starting March 3, we are offering this seminar as a 3-day synchronous*, livestream workshop. Each day will consist of a 4-hour live lecture held via the free video-conferencing software Zoom. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.
Each day will include a hands-on exercise to be completed on your own after the lecture session is over. An additional lab session will be held Thursday and Friday afternoons, where you can review the exercise results with the instructor and ask any questions.
*We understand that scheduling is difficult during this unpredictable time. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.
Closed captioning is available for all live and recorded sessions.
More Details About the Course Content
Topics covered include:
- How to perform the fundamentals of computer aided qualitative data analysis in ATLAS.ti
- The specific strategies necessary for dealing with different types of data including ethnographic field notes, in-depth interviews, texts, audio, video, and documents
- How to organize your data set
- How to construct and use a coding scheme for your project
- Making the best use of memos
- Inductive and deductive strategies for investigating substantive relationships in your data
- Using ATLAS.ti for team projects
- Advanced functions in ATLAS.ti (e.g. networks, geocoding, quantitative output, supercodes and snapshots, co-occurrence functions, tools for inter-coder reliability, etc.)
Please note: although the vast majority of skills will transfer across operating systems, we will use the current Windows version for all demonstrations. The Mac and cloud versions of ATLAS.ti have slightly different interfaces. Consequently, attendees who opt to use non-Windows versions may not be able to directly follow along during some segments.
Please note as well that workshop participants should install the software— either the full or demo version— prior to the workshop. Instructions for installing the free 90 day trial are available here: https://atlasti.com/
Who Should Register?
No prior experience with computer-assisted qualitative data analysis software (CAQDAS) is required. Anybody interested in analyzing qualitative data sources is encouraged to attend. Qualitative data here refers to various forms of text or multimedia information that will be analyzed in depth. This may include but is not limited to: in-depth interview transcripts, ethnographic fieldnotes, open-ended survey responses, historical documents, media clippings, data from web forums, images, and academic articles (e.g., for meta-analyses).
DAY 1: Overview, key concepts, and ATLAS.ti fundamentals
- The fundamentals of QDA
- The logic of the ATLAS.ti platform
- Fundamental CAQDA skills walkthrough: entering, structuring, coding and retrieving
- Text search strategies
- Boolean queries
- Observation into text (e.g. a model of process)
DAY 2: Data management and workflow
- Data set management and structure with examples
- Constructing and deploying a coding scheme – tips, techniques and examples
- Making the best use of memos – tips, techniques and examples
- Multi-researcher projects and tools
- Merging and splitting codes
DAY 3: Adding tools to your CAQDA repertoire
- Advanced coding techniques (multimedia analysis, automation, etc.)
- Quantitative functionality and survey importation
- Making use of the co-occurrence tables
- Advanced retrieval (i.e. non-Boolean search options)
- Networks and hyperlinks
- Visualization options
Reviews of Qualitative Data Analysis using ATLAS.ti
“Corey was fantastic. His training and experience make him perfect for this course. I appreciated the context and examples that he consistently provided.”
James Sutton, Hobart and William Smith Colleges
“Corey is funny, patient, flexible, and very experienced. He provided a nuanced story full of helpful examples from his own experience. I furthermore liked the material he provided; very concrete, clear, worth keeping for future reference. And the 3+1 format was also pleasant.”
Marrije Prins, Vrije Universiteit Amsterdam
“I liked the quantitative aspects within qualitative work. I was especially happy to see I can use the software to run frequencies and utilization of network visualization. The instructor was passionate about his stuff and has awesome understanding as a subject matter expert. I loved his passion and mastery of qualitative content.”
Odylia Muhenje, CDC
“I have had opportunity to follow through this virtual training on computer assisted qualitative data analysis using ATLAS.ti. I have used the training to navigate my qualitative data and managed to perform some preliminary analysis. Though this was my first time and I was not able to attend the live sessions, Corey made it doable by answering all the questions that I had. I also found the contributions from colleagues who attended the course very helpful. The recorded sessions and videos together with the shared publications and other materials were instrumental in making sure I continued learning in order to achieve my goals.”
Joyce S. Nalugya, Makerere University
Thursday, March 3, 2022 –
Saturday, March 5, 2022
Each day will follow this schedule:
10:00am-2:00pm ET (New York time): Live lecture via Zoom
4:00pm-5:00pm ET: Live lab session via Zoom (Thursday and Friday only)
The fee of $895 includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.