What method is often used to ensure that survey data is valid?

Employing random sampling techniques is a critical method for ensuring that survey data is valid. Random sampling helps to ensure that each member of the population has an equal chance of being selected to participate in the survey. This reduces bias and enhances the representativeness of the sample, thereby leading to more reliable and generalizable results. When a sample accurately reflects the larger population, the conclusions drawn from the survey data are more likely to be valid and applicable to that population.

In contrast to this, methods such as using open-ended questions exclusively may introduce subjectivity and variability in responses, which can complicate data analysis. Gathering data from only one source can lead to skewed results, as it may not capture the diversity of perspectives within the population. Collecting information without defined criteria can result in inconsistent data, making it challenging to assess validity.