Sampling-Techniques

Sampling-Techniques are fundamental methodologies in Statistics and Research-Methodology used to select a subset of individuals from a Population. The goal is to obtain a representative sample that allows for accurate Statistical-Inference about the whole group. These techniques are broadly divided into Probability-Sampling and Non-Probability-Sampling.

Probability Sampling Methods

Probability-Sampling involves random selection, ensuring that every member of the population has a known chance of being included. Common types include Simple-Random-Sampling, where each individual is chosen by chance, and Stratified-Sampling, which involves dividing the population into groups based on specific characteristics. Other methods include Systematic-Sampling and Cluster-Sampling. For a deeper dive into these methods, visit Scribbr or Investopedia.

Non-Probability Sampling Methods

In Non-Probability-Sampling, individuals are selected based on non-random criteria such as accessibility or researcher judgment. This category includes Convenience-Sampling, Purposive-Sampling, and Snowball-Sampling, the latter of which is often used to find hidden populations. While these methods are useful for qualitative research, they may lead to Sampling-Bias. Additional insights on these methods can be found at VWO.

• Data-Collection
• Research-Methodology
• Statistical-Inference
• Sample-Size