Translating Numbers into Meaningful Narratives: Bridging the Gap between Data and Human Understanding
This article explores the challenges and importance of interpreting statistical numbers in a meaningful way, emphasizing the need to consider the context and research questions. It advocates for collaboration between statisticians, researchers, and domain experts to develop effective interpretation frameworks.
SUMMARY
The article discusses the importance of interpreting statistical numbers in a meaningful way to bridge the gap between data and human understanding. It emphasizes the need to consider the context in which the data was collected and the research questions being asked.
The article suggests that statistical models should be seen as tools to address problems or research questions, rather than the ultimate objective themselves. Collaboration between statisticians, researchers, and domain experts is crucial in developing effective interpretation frameworks. The interpretation process involves connecting numbers within the model to concepts in the context and adopting a polysemic connotative approach.
The article also highlights the integration of interpretation throughout the data analysis workflow, effective communication of uncertainties associated with statistical models, the role of visualizations in facilitating interpretation, and the development of interpretability techniques for complex models.
Overall, the article calls for a multidisciplinary approach to improve the interpretation of statistical models and ensure they are effectively utilized for decision-making and advancements in various fields.
THE CHALLENGE OF INTERPRETATION
Providing meaningful interpretations to the numbers we encounter in our research is a challenge. This challenge of interpretation is crucial for bridging the gap between data and human understanding. It is particularly apparent in statistical analyzes.
