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Attendees might not be able to directly follow along on a PC during some workshop segments as the PC version of ATLAS.ti has a slightly different interface. Although the vast majority of skills will transfer across operating systems, we will use the current Mac version for all demonstrations.
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You can purchase ATLAS.ti or download the free trial version here.
#Atlas.ti for mac transcription full#
networks, geocoding, quantitative output, supercodes and snapshots, co-occurrence functions, tools for inter-coder reliability, etc.).ĭay 2: Tuesday, July 26, 9 am-noon PT, with optional lab/office hours 1-3pm PTĭay 3: Wednesday, July 27, 9 am-noon PT, , with optional lab/office hours 1-3pm PT Prerequisite/Technologyīasic knowledge of Mac computers and a Mac computer with ATLAS.ti version 22 installed ( demo or full version). Inductive and deductive strategies for investigating substantive relationships in your data, 7.
#Atlas.ti for mac transcription how to#
How to construct and deploy a coding scheme for your project, 5. The specific strategies necessary for dealing with different types of data including ethnographic field notes, in-depth interviews, texts, audio, video, and documents, 3.
How to perform the fundamentals of computer aided qualitative data analysis in ATLAS.ti, 2. By the end of the course, participants will have all the conceptual and practical tools necessary to employ ATLAS.ti in their current or future projects involving qualitative data. The workshop consists of both instruction and hands-on exercises in ATLAS.ti. After instruction in the fundamental aspects of CAQDA, the course turns to the logic of the ATLAS.ti program, and how it can function as a tool for CAQDA. The workshop begins by examining core elements of CAQDA, regardless of methodological orientation, discipline/profession, or platform. Further instructions and tips can be found at the lab.This online workshop will provide both a conceptual background and practical experience in computer assisted qualitative data analysis (CAQDA) using ATLAS.ti. PC2 is located straight ahead from the entrance to the lab.
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HardwareĮxpress Scribe Pro Transcription Software (available with shared login)Įxpress Scribe Free Transcription Software Further instructions and tips can be found at the lab. Graber at is located to the right of the entrance to the lab. That said, if you have specific questions about using lab software and equipment for your research, contact Dr. We provide limited training through the SSRC, but how you use the resources provided is up to you. This lab is set up as a resource to be used independently by faculty and graduate student researchers. If a computer appears to be malfunctioning, please notify Cami Pritchett at the SSRC's front desk. Please, do not unplug any devices attached to the computer or download additional software. Each computer's desktop includes a folder with software manuals, instructions, and other resources. Then just log in with your university ID and passphrase as you would on any other campus computer. Please consult the list to find what you're after.
Researchers will need to provide data storage for files (external hard drives, flash drives, etc.) data cannot be permanently stored on lab computers and storage devices should not be left in lab.Įach workstation has a list of installed software and attached equipment. Computer stations are available on a first come, first serve basis. Researchers can access the lab during the SSRC's operating hours by checking in with the SSRC. Series of Workshops in Statistical Software (SWiSS).Best Practices in Designing and Conducting Quality Research Seminar Series.Kentucky Research Data Center Consortium.Restricted Access Data Remote Server (RADaRS).Interdisciplinary Experimental Laboratory.Research Applications and Deep Learning.
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