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. ===== Ambiguity ===== '''Ambiguity''' refers to the presence of two or more possible meanings, interpretations, or outcomes within a statement, variable, concept, or result, where the intended meaning is unclear or context-dependent. ==== Types of ambiguity ==== * **Linguistic ambiguity** – when a term or phrase can be interpreted in different ways (e.g., "positive test" could mean good news or disease presence). * **Conceptual ambiguity** – when a scientific or clinical concept lacks a clear or universally accepted definition (e.g., "frailty", "quality of life"). * **Methodological ambiguity** – when study design, inclusion criteria, or outcome measures are poorly defined, leading to confusion in interpretation. ==== Consequences in research ==== * Reduces reproducibility * Undermines the clarity of conclusions * Opens the door to **interpretative overconfidence** or **confirmation bias** ==== Clinical impact ==== * Can mislead diagnosis or treatment decisions * May confuse patients or create uncertainty in communication '''In summary:''' ambiguity introduces uncertainty and interpretative risk, making clarity and precision essential in scientific writing and clinical decision-making. ambiguity.txt Last modified: 2025/06/15 11:15by administrador