Final Thesis: Task-focused Editor for Qualitative Data Analysis
Abstract: Qualitative Data Analysis (QDA) requires a researcher to perform a wide range of tasks, such as editing text documents, defining codes, coding documents, refining the code system, etc. Software supporting qualitative research can assist in many of these processes. However, providing all functionality in one place can lead to distraction, potentially complicating a focused workflow. To address this issue, it is beneficial to divide functionalities based on tasks and present them in separate views. Furthermore, these views allow for a better use of available space, ensuring only relevant functionality is displayed, thereby allowing the user to work more efficiently. In this thesis, we apply the concept of task-focused views to QDAcity, a cloud-based web application supporting QDA. Currently, the Coding Editor provides a multitude of functionalities without a clear overarching structure. To facilitate task-focused work, we restructure the Coding Editor, enabling users to select tasks from a central tab header. Additionally, this thesis extends the existing functionality by developing two new task views. The first concentrates on refining the code system, offering information on selected codes, and allowing users to restructure associated coding. The second view is customizable, permitting users to define new tasks and arrange editor elements efficiently.
PDF: Bachelor Thesis
Reference: Leonie Färber. Task-focused Editor for Qualitative Data Analysis. Bachelor Thesis. Friedrich-Alexander-Universität Erlangen-Nürnberg: 2023