If you are registering online, you will need a credit card (there is no need to contact us in advance if you are paying by credit card as the online site automatically closes registration once it is full). If you prefer to pay by check, contact cer berkeley edu to be sure there is still space available. Less than one month in advance, you may cancel but will only receive a refund if we are able to fill your slot. You may cancel your registration up to one month in advance for a refund, less a $50 cancellation fee. Register in advance (date TBA) to save $50. The cost to attend the two-day course is $400 for UC Berkeley students, $450 for other students, $550 for those in the academic/non-profit sector, and $700 for all other participants. All students receive handouts detailing the course materials and templates for various data set structures.
ReadingsĪll readings and handouts will be provided at the workshop. One of the 12 participants will win a single-user student or educational license and all participants will receive a 20% discount for anyone interested in purchasing a license.
#Atlasti home install
Attendees might not be able to directly follow along on a Mac during some workshop segments unless they install the Windows version of the software (using parallels or VMware, or make other arrangements prior to the workshop) as the Mac 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 PC version for all demonstrations. You can purchase ATLAS.ti or download the free trial version here. All students should bring a laptop with the Windows version of ATLAS.ti installed.
#Atlasti home full
Various Advanced functions in ATLAS.ti Prerequisite/Technologyīasic knowledge of Windows and a personal computer with ATLAS.ti for Windows version 8 installed ( demo or full version). Inductive and deductive strategies for exploring the data set
#Atlasti home how to
How to perform simple and complex searches to aid in analyzing your data Performing the fundamentals of CAQDA in ATLAS.tiĬonstructing and deploying a coding scheme Instruction 9am-noon and 1-4pm | Lunch (on your own) 12-1pm | Practice and Q&A 4-5pm networks, geocoding, quantitative output, supercodes and snapshots, co-occurrence functions, tools for inter-coder reliability, etc.). Inductive and deductive strategies for investigating substantive relationships in your data, 7. 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. This workshop will provide both a conceptual background and practical experience in computer assisted qualitative data analysis (CAQDA) using ATLAS.ti.
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