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Simple random sampling is a method for obtaining a study sample where every single member of the target population has an equal chance of being selected. While this approach is effective for ensuring a representative sample, it is often difficult or impossible to achieve in psychological research because populations are rarely defined clearly enough to give everyone an equal selection chance.

Simple Random Sampling

A classic application of simple random sampling can be seen when a pollster starts with a complete list of all registered voters in a city, which represents the entire population. The pollster then randomly selects $$100$$ individuals from that list to form the sample and asks them whom they intend to vote for, ensuring each voter had an equal chance of being chosen.

Example of Simple Random Sampling: Pollster

A representative sample is a study sample that is similar to the broader population in important respects. It is crucial for researchers to obtain a representative sample so they can appropriately generalize their findings from the small subset of participants to the entire population of interest.

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