Researchers use the simple random sample methodology to choose a subset of individuals from a larger population. While easier to implement than other methods, it can be costly and time-consuming.

Learn how simple random sampling works and what advantages it offers over other methods when selecting a research group from a larger population.

Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample. First, you must assign a unique identifier to each item.

Simple random sampling is the foundation for almost every method taught in introductory statistics classes. Many students, however, have difficulty understanding the difference between simple random ...

Efficiency of adaptive cluster sampling relative to simple random sampling was highest when 1) the within-network variance was close to the population variance, and 2) the final sampling fraction was ...

One drawback to the method is that biologists are often constrained from conducting simple random sampling, and the practicalities of how samples are collected may actually increase sample size ...

The simple random sampling method allows researchers to statistically measure a subset of individuals selected from a larger group or population to approximate a response from the entire group.