Sampling Techniques in Research: Probability and Non-Probability Methods Explained with Examples
📌 Sampling Techniques in Research: Probability and Non-Probability Methods Explained Sampling is a fundamental concept in research methodology that helps researchers collect data efficiently without studying the entire population. Due to time, cost, and resource limitations, researchers select a subset called a sample. Sampling techniques are divided into Probability Sampling and Non-Probability Sampling . 🔹 What is Sampling? Sampling is the process of selecting a subset of individuals from a larger population. Example: If a school has 1000 students and you select 100 students, those 100 form your sample. 🔹 Importance of Sampling Saves time and cost Makes research practical Better data handling Useful for large populations 👉 Join now and grow your LIS career: https://whatsapp.com/channel/0029Va9qf8JGzzKJbG1NMB3T 🔷 Types of Sampling Techniques Probability Sampling Non-Probability Sampling 🔷 1. Probability Sampling 📌 Definition Probabil...