What alternative sampling method is suggested as an improvement?

• A. Simple random sampling
• B. Opportunity sampling
• C. Systematic sampling
• D. Stratified sampling

Answer: (A)

Simple random sampling is considered an improvement in sampling methods because it offers a straightforward and unbiased way to select participants from a larger population. In this method, each individual has an equal chance of being selected, which helps to ensure that the sample is representative of the population. This is critical in biological psychology research, where the goal is to derive conclusions that can be generalized to the broader population.

Using simple random sampling minimizes selection bias, allowing for results that are more reliable and valid. This method is particularly useful when studying the effects of biological variables since it helps to evenly distribute potential confounding factors among the sample. In contrast, other sampling methods, such as opportunity sampling, may lead to biased results because they rely on readily available participants rather than providing each member of the population an equal chance of selection.

Systematic sampling may introduce a periodicity bias, where the selection process inadvertently leads to non-representative samples based on the arrangement of participants. Stratified sampling requires prior knowledge of the population characteristics to ensure that subgroups are adequately represented, which may not always be feasible.

Overall, simple random sampling is favored for its capability to produce a sample that better reflects the diversity of the entire population while minimizing bias.