What is a primary characteristic of quantitative research?

A primary characteristic of quantitative research is that it often involves numerical data and statistical analysis. This approach enables researchers to measure variables, quantify relationships, and test hypotheses using mathematical frameworks. The emphasis on numerical data allows for the application of statistical methods to analyze results, which can lead to conclusions that are generalizable across larger populations.

Quantitative research is structured and typically aims to ascertain patterns and correlations, making the collection and interpretation of data objective and replicable. The reliance on statistical analysis helps researchers identify significant differences or relationships, which is a fundamental aspect of the scientific method in evaluating hypotheses rigorously.

In contrast, options focused on participant narratives, allowing for flexible methodologies, or emphasizing theoretical insights reflect qualitative or mixed-methods approaches that prioritize subjective experiences or theoretical explorations over numerical data. These distinctions highlight the specific nature of quantitative research in its determination to provide quantifiable evidence and clarity through statistical means.