What are the basic differences between simple and stratified?

Simple and stratified refer to different sampling methods in research. Simple sampling involves selecting individuals randomly from a whole population, ensuring each member has an equal chance of being chosen. In contrast, stratified sampling divides the population into distinct subgroups, or strata, based on specific characteristics, and then samples from each stratum, allowing for more precise representation of the population's diversity. This can enhance the accuracy of results, especially when certain subgroups are underrepresented in a simple random sample.