How do researchers generally analyze quantitative data?

Researchers typically analyze quantitative data through statistical methods because this approach allows them to apply mathematical frameworks and formulas that quantify data into understandable results. Statistical methods enable researchers to examine relationships between variables, test hypotheses, and derive meaningful conclusions from numerical data. By employing techniques such as descriptive statistics, inferential statistics, regression analysis, and others, researchers can identify patterns, differences, and correlations within the data set. This rigorous analysis is essential for ensuring that findings are valid, reliable, and can be generalized to a broader context.

In contrast, narrative techniques, case studies, and visual inspection are more aligned with qualitative research methods, which focus on understanding phenomena through descriptive information rather than numerical analysis. While these approaches may provide insights in different contexts, they do not adequately analyze quantitative data, making them less suitable for this specific inquiry.