The Social Science Data Library Presents
Using Atlas.ti Effectively:
A Workshop on Qualitative Data Analysis
January 13-15, 2010
Click Here to register for the workshop
Software for qualitative data analysis has moved to the mainstream. If you analyze text (e.g., interview transcriptions, documents), video, images, audio, or multimedia, Atlas.ti software can help you conduct your research more efficient and effectively. We have designed an intensive workshop to appeal to both beginners and more advanced users. Core sessions, repeated each of the three days, offer instruction in both basic and advanced analytic techniques. Other sessions deal with how to incorporate Atlas.ti into coursework, how to document your work, how to incorporate non-textual material, and how to “train the trainer.” For those unfamiliar with qualitative software, there will be a general orientation session on what Atlas.ti is and what it can do. All sessions will be taught by Ray Maietta, Ph.D., and staff from his organization, Research Talk Inc.
Some may recall Ray and his staff from their extremely well-received presentation and workshop three years ago. More than 120 faculty and grad students attended Ray’s comparison of the strengths and weaknesses of the various software packages available, and the afternoon workshop was heavily oversubscribed. We expect places in the workshop to fill quickly.
To register for the workshop, please complete the form at www. This form also will ask for additional information to permit Ray and his staff to tailor the workshops to the needs of the participants.
A schedule for the workshop is attached as an Excel file. To provide the greatest access to faculty and students, each person may only sign up for one session of the basic or advanced core sessions. That is, if you sign-up for the basic and advanced sessions for the morning of January 13th, you may not sign-up for these sessions either of the following days.
This workshop is made possible with the support of the Office of the Vice President for Research, the Fox School of Business and Management, the Horvat Project, the Institute for Public Affairs, the Department of Sociology, the Department of Geography and Urban Studies, and the Teaching and Learning Center.
The conference schedule and the course descriptions are provided below:
Click Here to register for the workshop
Atlas.ti Conference Schedule |
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Day |
Time |
Computer Lab 1 |
Presentation Room |
Computer Lab 2 |
Jan 13 |
begin 9:00 am |
Basic Analytical Techniques |
Atlas.ti: what it is and what it can do |
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12:15 - 1:45 pm |
Qualitative Researcher Networking Lunch |
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begin 1:45 pm |
Advanced Analytical Techniques |
Managing Large Projects |
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6pm |
End of day's events |
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Jan 14 |
begin 9:00 am |
Basic Analytical Techniques |
Documentation Methods |
|
12:15 - 1:45 pm |
Brown Bag talk: Mixed Methods Project |
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begin 1:45 pm |
Advanced Analytical Techniques |
Integrating software into methods courses |
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6pm |
End of day's events |
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Jan 15 |
begin 9:00 am |
Basic Analytical Techniques |
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Analyzing Non-textual Material |
12:15 - 1:45 pm |
Brown Bag Talk: Role of Coding in Qualitative Analysis |
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begin 1:45 pm |
Advanced Analytical Techniques |
Training the Trainer |
|
|
6pm |
End of day's events |
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Workshop Descriptions
ATLAS.ti Skill Building(Work Sessions) |
Management and Methods(Presentations) |
Teaching Other Users(Presentations) |
Basic ATLAS.ti TrainingStandard introduction to ATLAS.ti, with special attention to skills required to start a qualitative analysis project: Suggested Data Use: Personal Data |
Managing large projectsHow do you best manage projects that have many coders, and where personnel come and go? How do you best introduce new people to the project? How do you best merge codes and codings? How do you decide if standardization of work is appropriate and if so, how do you introduce standardization practices? Suggested Data Use: Combination of Personal Data and Teaching Dataset |
*Training trainersWhat are the core facts that must be conveyed to new users of ATLAS.ti? How do you balance presentation of core skills and invite unique approaches to the program? How do you encourage users to integrate their unique analysis plans into ATLAS.ti use rather than follow prescriptive pathways that may not fit their needs? Suggested Data Use: Teaching Dataset |
Advanced Analytical TechniquesOnce you inventory, code, and write memos about your data, then what? What is the best way to use the network analysis tools? Cooccurence tools? Links to quantitative programs? What does it all mean? Suggested Data: Personal Data |
Documentation of MethodsIs there a standard for documenting qualitative data analysis? What is it and how do we employ it? What is the best way of transferring information about a project from one analyst to the next? Also, what is the best way of documenting the work so that it can be replicated? Suggested Data: Personal Data |
Integration of ATLAS.ti with Methods CoursesMethods courses teach qualitative methods theory. ATLAS.ti facilitates practical work that employs the methods learned in class. What are the best practices for using the software to support theoretical learning? Suggested Data: Personal Data |
Analysis of Non-textual MaterialVideo, audio, images and .pdf files: what are the best practices for coding and analyzing other media (files that are not in .rtf, or its equivalent, format) Suggested Data: Personal Data |
Presentation Approaches Defined:Work Session – At-computer teaching Seminar – Facilitated discussion led by a ResearchTalk consultant
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Personal Data Use:When possible, we encourage the use of personal data. Please note the following:
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