🧮 Understanding Sampling Errors and How to Minimize Them in Research
🧮 Understanding Sampling Errors and How to Minimize Them in Research #SamplingError | #MinimizeBias | #DataAccuracy | #ResearchMitraDay19 📌 What is a Sampling Error? A sampling error is the difference between the result obtained from a sample and the result that would have been obtained if the entire population had been surveyed. It’s an inevitable part of any research involving sampling — but the goal is to keep it as low as possible . 🔍 Types of Sampling Errors 1️⃣ Random Sampling Error Occurs due to chance variations in selecting a sample 🧪 Even in well-designed random samples, the selected participants may not perfectly represent the population 📌 Example : Selecting 60% male respondents when the population is only 50% male 2️⃣ Systematic Sampling Error (Bias) Results from non-random sampling or flawed methodology Often caused by poor sampling design , non-representative samples , or faulty procedures 📌 Example : Using only urban college students to study youth behavi...