Primarily DENVI doctoral candidates
The aim of the course is to introduce students to the computer assisted qualitative data analysis techniques available in the Atlas.ti program and start using it with their own data. First, students will become familiar with the tools and terminology used in Atlas.ti, as well as how to utilise the program as a qualitative data organising, managing and analysis tool. Second, students will start to work on their own projects in order to gain an understanding of how to use ATLAS.ti to assist researchers in doing qualitative research.
By the end of the course, students should (1) be familiar with the basic principles and terminology of the program, (2) be able to use the basic data management tools of Atlas.ti, (3) be familiar with the ways to use the program for different research aims, and (4) have an understanding of how to conduct basic qualitative content analyses using ATLAS.ti, generally and in their own qualitative empirical research
**Please note that the course does not cover qualitative methodologies – they are covered in methodology courses organised by DENVI. The tools learned in the course can be applied to many different paradigms in qualitative research, and we will not focus on or advocate any one approach or paradigm.
To be completed at any time during doctoral studies, the course will be offered annually.
The course is divided in two halves:
In the first part, more technical, students will learn the basics of data preparation, quotations, coding, writing memos, writing comments, making links between objects, networks and network views, coding and primary document families, filters, and tools for retrieval and exploration of the data (e.g., query tool, co-occurrence tool, tree and table explorer) – all within the Atlas.ti program.
In the second half, the course will focus on teaching students how to use ATLAS.ti to conduct descriptive-level analyses (first- and second-stage coding, building and refining coding schemes), and conceptual-level analyses (e.g. asking questions from the data using the analysis tools in ATLAS, interpreting themes/patterns using the tools, answering the questions, recoding). Students will preferably use their own data in the course although data provided by the instructor will also be available if students do not have their own, yet would still like to participate. The main aim of the course is for students to gain an understanding of how to use ATLAS.ti to assist researchers in doing qualitative research by helping them to construct their own coding and analysis style ATLAS.ti.
Completing the course will require:
(1) Two preliminary online tasks conducted in Moodle to become familiar with ATLAS.ti and a preliminary survey that involves describing your own work in the frame of ATLAS.ti
(2) 24 hours of face-to-face meetings during which the students receive short introductory lectures and conduct hands-on exercises in Atlas
(3) Two written course reports. The first to be completed halfway through the course, and the second in the end of the course.
(4) Reading of the course literature, to be used in the final report.
(5) Attendance is obligatory. A maximum of two absences are allowed. Students will be required to make up for these absences by completing the necessary exercises at home.
According to the course content.
Jose A. Cañada