interpretivequality
Interpretive quality refers to the degree to which interpretative claims made about data, phenomena, or texts are transparent, consistent, and supported by evidence. The concept is widely used in the social sciences, humanities, and data science where researchers must translate raw information into meaningful narratives. It captures the rigor of the interpretive process, evaluating how well the interpreter documents sources, acknowledges assumptions, and connects observations to broader theoretical frameworks.
High interpretive quality is achieved when the reasoning is explicitly stated, alternative explanations are considered, and
Critics argue that interpretive quality can be inherently subjective, as different interpreters may emphasize distinct aspects