August 2015: Intro to qualitative data analysis using ATLAS.ti & demo of CSSCR’s new terminal server, Titus
Part I: The first hour will be an intro to qualitative data analysis (QDA) using ATLAS.ti. This session is open to all UW students, faculty and staff. Attendees will review criteria to consider when choosing a QDA software program and learn the features and terminology in ATLAS.ti, a QDA package broadly used in academia. A hands-on workshop will take up most of Part I – we will create a new project in ATLAS.ti with qualitative data provided by the instructor and featuring interviews, newspaper articles, policy documents, images, and a video. We will practice coding, organizing the data into families, and try several of the basic analysis functions such as networks (visualizing data and codes), various reports and outputs.
Part II is intended for faculty and researchers in the Social Sciences who are interested in accessing ATLAS.ti (and other data analysis software such as Stata) via CSSCR’s new free service – the remote terminal server Titus. We will practice logging into Titus and CSSCR’s Computer Support Specialist will be available to answer technical questions. Those interested in this service should register specifically for Part II with their UW Net ID/UW email address. We will practice logging into Titus on a PC; if you have a MacBook that you prefer to log in from, feel free to bring it.
Sample data for this class can be accessed here. The presentation slides are available here.
April 2014: Intro to qualitative research using ATLAS.ti
This class covers the criteria for choosing a qualitative data analysis software package and includes a hands-on demo of one of those programs: ATLAS.ti 7. We will go over terminology, importing documents, coding data (text and other media types) and visual analysis. We will learn best practices for data management, how to backup and share your project file and other tips for staying organized.
Data for project demo & handout.
February 2014: Software Workshop for Qualitative Methods Class
This class was a special presentation to students in a qualitative methods course.
Data for project demo & handout.
October 2013: Introduction to ATLAS.ti
This workshop will be a hands-on introduction to qualitative analysis using ATLAS.ti. Topics covered will include terminology, importing documents, coding, and visual analysis of multiple media formats.
ATLAS.ti — a PDF of presentation slides from this class.
July 2013: ATLAS.ti – Advanced Beginner: Qualitative Data Analysis
In this class we will review best practices for project management in ATLAS.ti 7, including the My Library option for importing primary documents (i.e. interviews in text, audio or video format, images, etc.), how to Copy Bundle your project and other tips for keeping your Hermeneutic Unit (HU) organized. We will practice coding and will explore output functions. Some familiarity with ATLAS.ti is helpful, but not necessary.
ATLAS.ti — a PDF of presentation slides from this class.
April 2013: ATLAS.ti and Other Software Overview for JSIS 511
ATLAS.ti — a PDF of presentation slides from this class.
February 2013: Software Workshop for PB AF 525A: Qualitative Methods for Policy & Social Science Class
This class was a special presentation to students in a qualitative methods course.
ATLAS.ti — a PDF of presentation slides from this class.
October 2012: Qualitative Data Analysis Using ATLAS.ti
This class will briefly review criteria for choosing between different QDA software packages. Attendees will learn project management tips for working with the newest version of ATLAS.ti. The second half of the class will be a hands-on exercise: importing documents, coding, and visual analysis of qualitative data.
ATLAS.ti — a PDF of presentation slides from this class.
September 2012: Qualitative Data Analysis Using ATLAS.ti
This class will briefly review criteria for choosing between different QDA software packages. Attendees will learn the basic components of ATLAS.ti, including new features in the latest version 7, launched this summer. The class will also offer a short demonstration – project management tips, importing documents, coding, and visual analysis of qualitative data.