Abstract
This one-day course introduces how ATLAS.ti 8 qualitative data analysis software (QDAS) can be used to support the entire research process, including: managing and collaborating on projects, conducting paperless literature reviews, collecting data through mobile apps and social media, synchronizing audio and video files with transcripts, analyzing text/Geo-docs/multimedia data, and visualizing and representing findings. While most researchers understand the benefits of QDAS, fewer have thought about how such software can support every aspect of their work. Through a variety of instructional strategies including demonstrations and hands-on work with data, participants will learn how to fully integrate ATLAS.ti 8 into a research study. The target audience includes graduate students, methods course instructors, practitioners, and
qualitative or mixed methods researchers. Participants should have a working knowledge of qualitative research and, ideally, a research study in the design phase. While no prior experience with ATLAS.ti 8 is required, those who have never used it will be asked to watch a short webinar to become familiar with the interface. The Windows version of the software will be demonstrated, but Mac users are welcome to attend. Participants should bring a laptop computer with the software installed (trial versions will be made available prior to the course). While sample data will be provided, participants may bring the following in the context of their own studies: text, audio and/or video data; PDFs of scholarly literature; an iPad with the free app installed; a Twitter and/or Evernote account; and an XML file from a citation management system.
| Original language | American English |
|---|---|
| State | Published - Apr 4 2019 |
| Externally published | Yes |
| Event | American Educational Research Association Annual Meeting - Toronto, Canada Duration: Apr 4 2019 → … |
Conference
| Conference | American Educational Research Association Annual Meeting |
|---|---|
| Period | 4/4/19 → … |
Keywords
- data analysis
- qualitative data
Disciplines
- Educational Assessment, Evaluation, and Research
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