Which aspect of quantitative secondary sources is generally considered beneficial according to the PERVERT evaluation?

The aspect of quantitative secondary sources that is generally considered beneficial according to the PERVERT evaluation is the high representativeness due to large samples. This concept highlights that quantitative secondary data often involves large sample sizes, which enhances the generalizability of the findings. When a study draws from extensive datasets, it allows researchers to make more accurate and reliable inferences about the population being studied. Large samples help to reduce the margin of error and can provide a clearer picture of trends, relationships, or patterns within the data.

In sociological research, access to substantial amounts of data that are representative of diverse segments of the population is crucial for better understanding social phenomena. This characteristic is particularly valuable because it enhances the credibility of findings and supports robust conclusions that can be useful for policy-making and further research.

Other aspects mentioned in the incorrect options do not reflect positive attributes associated with quantitative secondary sources. High cost and limited access can be significant barriers to utilizing some data, low rigor in collection methods can lead to unreliable data, and subjectivity in data interpretation underscores potential bias rather than a strength. Therefore, high representativeness due to large samples stands out as a distinctly favorable feature in this context.