🎯 Sampling Techniques in Research – Probability vs. Non-Probability Explained with Examples
🎯 Sampling Techniques in Research – Probability vs. Non-Probability Explained with Examples #SamplingInResearch | #ProbabilityVsNonProbability | #ResearchMethods | #ResearchMitra 📌 Why Sampling Matters in Research When it's not feasible to study an entire population, we select a sample — a smaller, manageable group that represents the whole. 🔍 A good sample ensures: Accuracy of results Time and cost efficiency Generalizability of findings 🧭 Two Major Types of Sampling Techniques All sampling methods fall into two broad categories: Type Key Feature Suitable For Probability Sampling Every unit has a known chance of selection Quantitative & large-scale studies Non-Probability Sampling Not all units have an equal chance Exploratory, qualitative, or pilot studies 🔢 1. Probability Sampling Techniques ✅ a. Simple Random Sampling 🎲 Every individual has equal chance of being selected 📍 Example : Choosing 100 students using random numbers from a list ✅ b. Systematic Sampling ...