What limitation is associated with quantitative data?

Quantitative data is primarily focused on numerical values and measurable phenomena. While it excels at providing clear, concise statistical information, it often lacks the depth and narrative context that qualitative data can offer. This means that while quantitative data can tell us "how much" or "how many," it does not explain the "why" or "how" behind certain behaviors or trends.

For example, a survey might reveal a high level of customer satisfaction through numerical ratings but won't articulate the reasons behind those ratings or the emotional responses linked to customer experiences. Hence, the strength of quantitative data lies in its ability to quantify trends and patterns but not in providing rich, detailed explanations of individual experiences. This makes it important to consider both quantitative and qualitative data to gain a full understanding of a situation or to support decision-making effectively.