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. ====== Overgeneralization ====== **Overgeneralization** occurs when conclusions drawn from a specific study, sample, or dataset are **unjustifiably extended** to broader populations, settings, or conditions **without sufficient evidence**. ===== Characteristics ===== * Applying results from a **small**, **non-representative**, or **highly selective** sample to the general population * Assuming findings from **one disease**, **subtype**, or **demographic** are valid for all others * Ignoring **contextual limitations** such as duration, comorbidities, or clinical setting ===== Examples in Clinical Research ===== * Claiming that a treatment tested in 40 young adults is effective “for all tinnitus patients” * Generalizing results from a single center or region to global clinical practice * Extending short-term outcome improvements to long-term prognoses without follow-up data ===== Why It Matters ===== * Leads to **misapplication of therapies** in inappropriate patients * Undermines **external validity** (generalizability) of clinical research * Contributes to **misleading clinical guidelines** or practice changes based on insufficient scope ===== Red Flags ===== * Small or homogeneous sample size with broad conclusions * Lack of subgroup analysis or demographic stratification * Absence of discussion on **limitations** or **generalizability** ===== Related Concepts ===== * [[external_validity|External Validity]] * [[selection_bias|Selection Bias]] * [[rhetorical_inflation|Rhetorical Inflation]] * [[conceptual_ambiguity|Conceptual Ambiguity]] ===== See Also ===== * [[critical_review|How to critically read a scientific article]] * [[ebm_principles|Principles of Evidence-Based Medicine]] overgeneralization.txt Last modified: 2025/06/15 10:28by administrador