Certified Prevention Specialist CPS Practice Exam

The selection of quantitative data as the correct answer is accurate. Quantitative data is characterized by its numerical representation, allowing for statistical analysis. This type of data is essential for testing hypotheses because it enables researchers to apply mathematical models and techniques to determine relationships and effects between variables. For instance, if evaluating the efficacy of a prevention program, quantitative data could include measurements such as the number of participants, statistical trends over time, or comparisons of different groups using numerical values.

In contrast, qualitative data, while valuable for providing insights into behaviors and perceptions, does not lend itself to numerical analysis or the testing of hypotheses in the same way. It focuses on descriptive information that captures the quality or essence of an experience rather than quantifiable measures.

The other choices, such as prevention and the asset development model, represent concepts or frameworks rather than data types. They do not pertain to the methodical numeric assessment required for hypothesis testing in the context specified. Thus, quantitative data stands out as the appropriate choice for its ability to provide a clear basis for testing hypotheses and determining effects through numerical evidence.