Which of the following is an example of quantitative data?

Quantitative data is characterized by numerical information that can be measured and analyzed statistically. The choice that represents quantitative data is a survey of prevention program directors/staff. Surveys typically involve structured questions that result in numerical responses, allowing researchers to perform statistical analyses to identify patterns and trends within the data.

In the context of prevention programming, surveys can yield information such as the prevalence of certain practices, the number of programs being implemented, or ratings on various aspects of program effectiveness, all of which lend themselves to quantitative analysis. This allows for comparisons across different groups or over time.

While the other options may provide valuable insights, they do not inherently yield quantitative data. For instance, interviews with service providers involve qualitative data that capture opinions and experiences but do not easily translate into numerical data for statistical analysis. A review of archival data, which could involve both qualitative and quantitative elements depending on the data being reviewed, is often more descriptive than numerical in its findings. Similarly, a review of program documents typically entails analyzing text and narrative descriptions rather than collecting numerical data. Thus, the survey stands out as the clear example of quantitative data.