Many of the perks and features that have led to this platform's popularity includes a low-cost, a cloud based infrastructure, and helpful technical support. Academics from UCLA originally developed this platform with support from the William T. Love the spelling of this one! Dedoose provides a web-based user interface. The updated Next Generation package is at. It describes itself as useful for “dialog mapping and mind mapping” and continues to explain “but its uses are almost limitless.” The legacy product information is archived online. This software is available via its GitHub repo. Compendium Next Generationįormerly known as Compendium (now retired). Researchers at the University of Hamburg developed this platform for researchers in the humanities. Now in its sixth major release this software boasts high stability and maturity that its user base highly appreciates. Computer Assisted Text Markup Analysis (CATMA) For those who seek software that will work well across all major operating systems (Mac, Windows, and Linus), this will be worth a look. Most of this package’s documentation is in French. You can find more at - This tool is worth knowing for the reference list the authors maintain at their website, alone. The drop-down menus provide access in English and other languages. You can find more at - Designated as, commercial and/or not open source.Īvailable in several languages. This platform provides exports that can work with SPSS (or any other platform that can read SPSS such as R, Stata, and Python’s Pandas. This QDAS software is one of the longest available. To those seeking in-depth instruction on methodological aspects, the ATLAS.ti Training Center offers a full complement of dedicated ATLAS.ti training events worldwide, both through online courses and face-to-face seminars in nearly all parts of the world. You should not expect any detailed discussion of methodological aspects of qualitative research other than cursory statements from this manual. Some general familiarity with concepts and procedures relating to the Windows operating system and computing in general (e.g., files, folders, paths) is assumed. Those who have worked with a previous version.Those who have no prior knowledge of ATLAS.ti.The section Useful Resources offers some useful advice on how to get support and where to find further information on the software. Conceptual-level functions such as the network editor, the Query Tool, and Co-occurrence Explorer 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 9.
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