Correlational Research
Correlational research is a quantitative research method used to investigate the relationship between two or more variables without manipulating them. It measures the degree and direction of association between variables, typically using statistical techniques like correlation coefficients (e.g., Pearson's r). This method helps identify patterns and predict outcomes but does not establish causation.
Developers should learn correlational research when working in data science, analytics, or user experience (UX) roles to analyze relationships in datasets, such as between user behavior and app performance metrics. It is useful for identifying trends, informing feature development, and making data-driven decisions in product design or A/B testing scenarios.