![]() ![]() The whole process, from the decision for using computer assisted analysis, to producing text material for dissemination, will be retraced. The focus will be mainly on textual data however, visual and audio data will be included as well. Qualitative Content Analysis (QCA) will be applied exemplarily to demonstrate practical ways of using Atlas.ti. The main purpose of this course is to learn about computer assisted qualitative data analysis with Atlas.ti. If available, we will discuss some existing projects from students. ![]() Lecturing, plenary sessions and independent work will regularly take turns. Throughout all of these steps, QCA will be applied to provide a practical example for using Atlas.ti. Major steps are: data management, creation and usage of quotes and codes, usage of comments and memos, splitting and comparing data, retrieving data pieces by different search functions, semantic networks. Students will build up their own project with a given data set. Then, the process from the decision for doing computer assisted analysis, to producing output, will be retraced. After reflecting the assets and drawbacks of computer assisted analysis, a brief introduction to QCA will be provided. The focus will be mainly on textual data however, visual and audio data will be included. Qualitative Content Analysis (QCA) will be introduced exemplarily to demonstrate practical ways of using Atlas.ti. Former experiences with Atlas.ti are not required. Otherwise it is strongly recommended to read the mandatory literature for the first unit and complement it with the additional readings. ![]() At best, knowledge about Qualitative Content Analysis is existent. It is expected that students bring prior experiences with qualitative methods and analysis. Participants are expected to be well grounded in Microsoft Windows and PCs in general. Saturday 4 March: 09:30-12:00 and 13:00-14:30ħ.5 hours over two days Prerequisite Knowledge The section Useful Resources offers some useful advice on how to get support and where to find further information on the software.Friday 3 March: 14:00-16:00 and 16:30-18:00 Conceptual-level functions such as the network editor, the Query Tool and the Co-occurrence tools build on the data-level work (at least in most cases) and are therefore described last. Once a project is set up, the basic functions such as coding, text search, auto-coding, writing memos, etc. You will learn how to manage your data and how to set up and start a project. These introductory and more theoretically-oriented parts are followed by more practically-oriented chapters providing step-by-step instructions. The sequence of the chapters follows the steps that are necessary to start and work on an ATLAS.ti project: First, the main concepts that ATLAS.ti utilizes are explained next, an overview of all available tools is provided. These are the chapters: The VISE Principle, ATLAS.ti - The Knowledge Workbench, and Main Steps in Working with ATLAS.ti.įurther, to set up a project, we recommended that you read:įor all basic-level work like creating quotations, coding, and writing memos, consult the chapters under the main heading: Feel free to skip sections that describe concepts you are already familiar with, jump directly to sections that describe functions you are interested in, or simply use it as a reference guide to look up information on certain key features.įor users with no prior knowledge of ATLAS.ti, we do, however, recommend that you especially read through the first part of this manual in order to become familiar with the concepts used by ATLAS.ti and to gain an overview of the available functions. It is not required that you read the manual sequentially from the beginning to the end. This manual describes the concepts and functions of ATLAS.ti. ![]()
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