qualitative vs quantitative generalization

Qualitative generalization involves applying insights from a small, detailed sample to broader contexts, focusing on understanding qualities, meanings, or patterns. It emphasizes depth and context, often used in interviews or case studies. Quantitative generalization, on the other hand, uses numerical data from a larger, representative sample to make predictions or inferences about a population, aiming for broader applicability. Essentially, qualitative generalization seeks understanding, while quantitative generalization seeks prediction and statistical validity.