What type of sampling method would best ensure a representative sample?

Random sampling is considered the best method for ensuring a representative sample because it allows each member of the population to have an equal chance of being selected. This egalitarian approach minimizes selection bias, making it more likely that the sample will reflect the diversity and characteristics of the entire population. By randomly selecting participants, researchers can generalize their findings to the broader population with higher confidence.

Other sampling methods, like convenience sampling, rely on selecting individuals who are easiest to reach, which may not accurately represent the larger group. Snowball sampling, often used in specific populations where members are hard to identify, can create biases depending on the connections of initial subjects. Purposive sampling, where researchers selectively choose individuals based on specific criteria, may also introduce bias and may not provide a comprehensive view of the population. Thus, random sampling is preferred for its ability to yield a more accurate representation of the population as a whole.