Tag: QDAcity

Abstract: Teaching research methods is of vital importance in any curriculum that prepares students for an academic career. While the theoretical frameworks underpinning qualitative theory building research can be adequately conveyed through lecturing and text books, experiential learning plays a p...

Abstract: Web applications can have a high level of functionality and complexity, making them difficult for users to use intuitively. Users can then resort to instructions or tutorials in order to learn how to use the application correctly. Tutorials that not only impart knowledge but also explain ...

Abstract: The web app QDAcity supports the process of qualitative data analysis (QDA). Among other things QDAcity can aid users during the coding process. A unique feature of QDAcity is that the user can classify codes of their code system using a meta model. The meta model helps in structuring the...

Abstract: Collaborative software allows people to work together to achieve a common goal. However, users might be distracted from their goals when such an application evolves with more functionalities. Moreover, when multiple users collaborate in the same session, the action of one user might confu...

Abstract: In qualitative research, Intercoder Agreement (ICA) represents the extent to which two or more researchers share the interpretation of the data. The ICA assessment adds investigator triangulation to a project and helps researchers validate their findings. QDAcity is a cloud-based applicat...

Abstract: Qualitative research deals with a wide array of unstructured input data. One common technique for data gathering is performing interviews which are recorded and subsequently transcribed for analysis. While QDAcity, a cloud-based solution for qualitative data analysis (QDA), already suppor...

Abstract: Qualitative Data Analysis (QDA) is a quintessential practice of theory building in academia, commercial research contexts and more. Analyzing unstructured text for themes, sentiments, and speakers is done in nearly every field of research from social sciences to information systems. C...

Abstract: Computer-aided qualitative data analysis software (CAQDAS) supports coding, categorizing, thematic analysis and derivation of insights from qualitative data. This category of software is most frequently found in academic settings but not exclusive to those. Thinking of the potential comme...