Survey research typically requires what size of sample?

Survey research typically requires a large sample size to ensure that the findings are representative of the population being studied. A larger sample size increases the likelihood that the results will accurately reflect the diverse views, behaviors, and characteristics of the entire population, thereby reducing sampling error. This is particularly important in survey research, which often aims to generalize findings beyond the sample to a larger group.

Additionally, a large sample size enhances the statistical power of the study, meaning it is more likely to detect true effects or relationships if they exist in the population. In many cases, researchers also seek to achieve a certain level of confidence in their results, which often necessitates a larger sample.

While smaller sample sizes may sometimes suffice for exploratory research or when studying very homogeneous populations, they generally do not provide the robustness needed for more definitive conclusions in survey research. Thus, a large sample is essential for achieving reliable and valid results in this context.