Back to Public SeminarsComputer-Assisted Qualitative Data Analysis: A Short Course
A 4-Day Livestream Seminar Taught by Corey M. Abramson, Ph.D.
Read Qualitative Coding Simplified, a blog post by Corey M. Abramson, to learn what qualitative coding is and how it can be used in a multitude of ways to enhance researchers’ data and help make sense of texts.
In Sub-setting Qualitative Data for Machine Learning or Export, Abramson discusses ‘sets’ for analyzing qualitative data, including what sets are, how they can be used, and examples of how to sub-set data in Atlas.ti.
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 May 22, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. 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.
*We understand that finding time to participate in livestream courses can be difficult. 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. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.
More Details About the Course Content
In this seminar, you will learn:
- 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.).
Computing
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 trial are available here: https://atlasti.com/free-trial-version/
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).
Seminar Outline
DAY 1: Overview, concepts, and interface
- The fundamentals of CAQDA
- The ATLAS.ti platform
- Fundamental CAQDA skills: entering, structuring, coding and retrieving
- Text search strategies
- Observation into text
DAY 2: Data management and workflow
- Data set structure and management examples
- Constructing and deploying a coding scheme
- Making the best use of memos – tips, techniques and examples
- Merging and splitting codes
- Automations
DAY 3: Adding tools to your CAQDA repertoire
- Multi-researcher projects and tools
- The Query tool
- Quantitative functionality
- Making use of the co-occurrence tables
- Visualization options
DAY 4: Advanced Functions
- Advanced coding techniques (multimedia analysis, GREP, etc.)
- Networks and hyperlinks
- Quantitative Functionality (expanded)
- Visualization options (expanded)
Reviews of Computer-Assisted Qualitative Data Analysis
“Very interactive and good use of technology to facilitate communication. I appreciated that the instructor responded to questions real-time and and the real-time sharing of information.”
Anne Skalicky, Evidera
“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.”
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
Seminar Information
Monday, May 22 –
Thursday, May 25, 2023
Daily Schedule: All sessions are held live via Zoom. All times are ET (New York time).
10:30am-12:30pm (convert to your local time)
1:30pm-3:00pm
Payment Information
The fee of $995 includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.