QDAcity

25 to 30 of 51

03AUG 2022
4 Theses
Final Thesis: Managing collaborators on QDAcity
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 confuse and come as a surprise to other users. These potential […]
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02AUG 2022
4 Theses
Final Thesis: Intercoder Evaluation Metrics in QDAcity
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 application which provides a platform for qualitative data analysis by allowing researchers to collaborate […]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 application which provides a platform for qualitative data analysis by allowing researchers to collaborate […]
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01JUL 2022
2 Research
Research Paper: The Benefits of Pre-Requirements Specification Traceability
Abstract: Requirements traceability is the ability to trace requirements to other software engineering artifacts. Traceability can be classified as either pre- or post-requirements specifications (RS) traceability. Pre-RS traceability is the ability to trace between requirements and their origin. However, the benefits of pre-RS traceability are often not clear. In this article, we systematically lay out […]Abstract: Requirements traceability is the ability to trace requirements to other software engineering artifacts. Traceability can be classified as either pre- or post-requirements specifications (RS) traceability. Pre-RS traceability is the ability to trace between requirements and their origin. However, the benefits of pre-RS traceability are often not clear. In this article, we systematically lay out […]
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18FEB 2022
4 Theses
Final Thesis: Assisted Interview Transcription for QDAcity
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 supported the analysis stage of this process, the transcription had to be performed either manually […]
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17FEB 2022
4 Theses
Final Thesis: Market Research on the B2B CAQDAS Market
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. Computer-Assisted Qualitative Data Analysis Software (CAQDAS) supports the collection and categorization of this unstructured […]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. Computer-Assisted Qualitative Data Analysis Software (CAQDAS) supports the collection and categorization of this unstructured […]
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16FEB 2022
4 Theses
Final Thesis: Market Research for Personal Use of QDAcity
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 commercial value of such a solution to researchers, industry market research professionals, as well as scholars […]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 commercial value of such a solution to researchers, industry market research professionals, as well as scholars […]
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