Why is a larger random sample more desirable in survey research?

A larger random sample is more desirable in survey research primarily because it enhances the likelihood that the sample accurately reflects the broader population. When a sample is larger, it reduces the margin of error and increases the precision of the results, leading to findings that are more generalizable. This concept is rooted in statistical theory, where larger samples better capture the diversity and characteristics of the entire population.

Additionally, a larger sample can mitigate the effects of outliers or unusual responses that might skew the results in a smaller sample. This representative nature is crucial in sociology and other fields, where understanding the diverse perspectives and behaviors within a population is essential for drawing valid conclusions.

While factors like data analysis complexity, cost-effectiveness, and response rates can also be influenced by sample size, the primary benefit of a larger random sample is its ability to provide a more accurate reflection of the population, making option C the most relevant and compelling reason.