What is a major benefit of using a quantitative approach in data collection?

Using a quantitative approach in data collection offers significant advantages, particularly its ability to allow for comparisons across the organization. This method typically involves numerical data that can be statistically analyzed, making it easier to identify patterns, trends, and relationships within the data.

By employing standardized metrics and frameworks, quantitative data facilitates objective benchmarking across different departments, teams, or time periods. This comparability is crucial for organizations aiming to evaluate performance, assess the effectiveness of interventions, or identify areas needing improvement. It supports data-driven decision-making, as stakeholders can easily interpret and understand the quantitative results to inform their strategies and practices.

In contrast, the other options highlight aspects that are more characteristic of qualitative methods. For instance, the claim that it provides richer detail in feedback focuses on qualitative data, which captures nuanced insights, emotions, and context, rather than the broad numerical perspective of quantitative data. Ensuring issues diagnosed are context-specific can also lean towards qualitative assessments, which delve deeply into specific environments or situations. Lastly, limiting data collection to a small scale does not align with the expansive reach that a quantitative approach can facilitate; it often covers larger populations or datasets, making it a powerful tool for wide-ranging insights.