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A sampling frame is essentially a comprehensive list of all members of a specified population from which a researcher will select respondents. Sources for these frames can include telephone directories, lists of registered voters, hospital records, or even geographic maps. Establishing an accurate sampling frame is a necessary prerequisite for conducting most forms of probability sampling.

Sampling Frame

Stratified random sampling is a probability sampling method where a target population is first divided into distinct subgroups, known as strata, often based on demographic traits. After these groups are established, a simple random sample is drawn independently from each stratum, ensuring that various segments of the population are represented appropriately in the study.

Stratified Random Sampling

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

The 1936 Literary Digest straw poll was a survey conducted to predict the outcome of the presidential election between Alf Landon and Franklin Roosevelt. The magazine attempted to forecast the results by sending ballots, which were also subscription requests, to millions of Americans. Based on this method, the editors incorrectly predicted that Landon would win in a landslide.

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