Final answer:
Simple random sampling ensures that every individual has an equal opportunity to be selected, which reduces bias and helps the sample to be more representative of the population. The correct answer is d, as it is the method that gives everyone the same chance of being part of the study.
Step-by-step explanation:
Understanding Simple Random Sampling
Simple random sampling is a method used to select a sample from a larger population. Each member of the population has an equal chance of being included in the sample. The correct answer to the student's question is d. Everyone has the same chance of being part of the study. This method reduces bias because it ensures that every individual has an equal opportunity to be selected, making the sample more representative of the population.
This type of sampling does not guarantee valid results (a), nor does it directly reduce biases from interviewer behavior (b), cover undercoverage and nonresponse (c), or poorly worded questions (d). It is simply a method for selecting participants in a way that aims to allow for unbiased generalizations to the larger population.
Examples of non-random sampling include convenience sampling, where participants are selected based on ease of access. This method, unlike random sampling, can lead to biased results that do not accurately reflect the population.