Which research method focuses on numerical and measurable data?

Quantitative research is focused on numerical and measurable data, making it the correct choice for this question. This method employs statistical, mathematical, or computational techniques to analyze data and derive insights. It is particularly useful for identifying patterns, making predictions, and establishing generalizable facts based on collected data. Quantitative research often involves tools such as surveys, experiments, and analytics that produce measurable outcomes which can be converted into usable statistics.

In contrast, qualitative research delves into understanding behaviors, motivations, and attitudes primarily through non-numerical data, such as interviews and open-ended responses. Ethnographic research, a subset of qualitative studies, focuses on observing and interpreting social phenomena within their natural context, emphasizing depth over breadth. Participatory design is more about engaging users in the design process rather than measuring data, focusing on user involvement to create relevant design strategies. Thus, quantitative research stands out for its commitment to measurable data, validating it as the most fitting method in the context of the question.