What is the difference between quantitative and qualitative crime analysis?

Quantitative analysis in crime analysis refers to the examination of numerical data and statistical methods to identify patterns, trends, and relationships within crime data. This approach allows for the collection and interpretation of measurable variables, such as the number of incidents, rates of crime over time, or geographic distribution of offenses. The use of numerical data enables analysts to apply mathematical models and statistical tests, which can produce objective and replicable results.

On the other hand, qualitative analysis centers around non-numeric data, such as interviews, observations, and textual information. This approach provides insights into the contextual and subjective aspects of crime, such as community perceptions, motivations behind criminal behavior, or the societal impacts of crime.

By clearly distinguishing between these two methods, the essence of quantitative analysis becomes evident: its focus on concrete, measurable data rather than subjective interpretations. This makes it a critical tool in crime analysis where data-driven decision-making is essential for effective law enforcement and public safety strategies. Thus, option B accurately captures this distinction, emphasizing the reliance on numerical data in quantitative analysis.