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. ====== Generalization ====== Generalization is the process of drawing broad conclusions or applying findings from a specific case or limited sample to a larger population or context. 🧠 In Scientific and Clinical Contexts: Generalization refers to the extent to which the results of a study or observation (e.g., a case report or clinical trial) can be considered applicable beyond the specific subjects or conditions studied. ⚠️ Why it matters: Overgeneralization = Applying results too broadly without sufficient evidence. Especially problematic when: The sample size is too small (e.g., a single case report). The context is highly specific or atypical. Confounding variables are not controlled. ✅ Good generalization requires: Representative sample Reproducible methods Controlled conditions Statistical validity generalization.txt Last modified: 2025/06/19 15:09by administrador