Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ===== Distortion ===== **Distortion** refers to any **systematic alteration, misrepresentation, or deviation** from accurate or truthful representation of data, structure, signal, or interpretation in a scientific context. ==== Types of Distortion ==== * **Data distortion**: Manipulation or misrepresentation of datasets (e.g. selective reporting, cherry-picking). * **Interpretative distortion**: Drawing conclusions not supported by the data; overgeneralization. * **Methodological distortion**: Applying a method inappropriately, leading to skewed or invalid results. * **Imaging distortion**: Artifacts or spatial inaccuracies introduced by equipment or reconstruction algorithms (e.g. in MRI or CT). * **Statistical distortion**: Misuse of statistical methods that bias outcomes (e.g. improper p-value interpretation). ==== Consequences ==== * Misleading readers, clinicians, or policymakers. * Undermining reproducibility and scientific integrity. * Eroding public and academic trust in research. distortion.txt Last modified: 2025/06/15 09:09by administrador