7 Interpretation & Reporting
Interpretation is about honest claims: what changed, how much it matters, and how confident you can be that your project caused it.
Before you move on
- You separate statistical significance from clinical or practical importance.
- Your claims about cause match what your design can support.
- You discuss other explanations for what you observed.
- You follow the reporting guideline your program expects, such as SQUIRE 2.0 for quality improvement.
- Your limitations are specific to your project, not generic.
A small project with a modest result, reported honestly, is a sound DNP project. Overstating results is a more common problem than having results that are too small. Say what changed, by how much, how precisely you know it, and what else might explain it.