The beginning of the world’s first AI solution for qualitative insights Please allow marketing cookies to watch the video. Manage cookies Get results in a fraction of the time compared to other software Gone
This innovative coding technique enhances the precision and efficiency of qualitative data analysis and reasoning within thematic analysis. On the other hand, it improves the fit of the analytical model (the structure of the codebook or dictionary) to the linguistic data of the interviews, thereby ...
Basics What is Qualitative Observation? written by Roehl Sybing read more Basics ATLAS.ti – The ideal alternative to other QDA programs written by Jörg Hecker read more Basics Research tools for qualitative data analysis written by Lauren Stewart ...
Reflect on decisions for a more self-aware approach Identify data gaps needing further exploration Maintain consistent coding and interpretations over time Generate term explanations Quickly clarify unfamiliar terms or phrases without leaving MAXQDA. ...
The authors used an iterative process of qualitative coding to analyze the data, using the Dedoose software system (https://www.dedoose.com). In the first round of coding, the second author used a combination of a priori or deductive codes based on elements of composition (e.g., brainstorm...
Memo Integration 🔄: AI Summaries seamlessly integrate into your memos, enabling versatile linking, conversion into documents, and coding. Privacy and Security 🔒: We understand the importance of data protection. Rest assured that AI Summaries operate within a secure environment, safeguarding your va...
Measuring the ROI of AI coding assistants is not trivial. You need to consider what your real business objectives are, whether the data gathering for ROI calculations is through the tool or your own custom measurements, and how mature your team operations are. However, given the promise of AI...
Code smells include various issues, ranging from subtle logic errors to complexities in coding practices. These issues can be challenging for human reviewers to identify, especially in complex codebases. Concerning refactored code smells, a notable difference emerges between the experimental and control...
Automated clinical coding (ACC) has emerged as a promising alternative to manual coding. This study proposes a novel human-in-the-loop (HITL) framework, CliniCoCo. Using deep learning capacities, CliniCoCo focuses on how such ACC systems and human coders
Thebest approach to doing thematic analysis is reflective, where the researcher spends time getting a good feel of the data. So why would you automate the process with AI? For a start, you don’t want to lose hours manually coding text comments only to deliver a report with insights that...