Which method involves demonstrating the relationship between key data and a research question?

The correct choice is analysing data, as this method focuses on examining and processing the collected information to uncover patterns, trends, and relationships relevant to the research question. It involves scrutinizing the data to identify correlations and draw meaningful conclusions that directly respond to the question posed at the outset of the research.

In the analysis phase, researchers apply various techniques and tools to dissect the data and visualize how different pieces of information connect with one another. By doing so, they can establish a clearer understanding of how specific variables interact and contribute to the overarching inquiry being investigated. This step is critical, as it lays the foundation for the insights that will be communicated in subsequent stages, such as presenting findings or interpreting results.

Options like collecting data, presenting findings, and interpreting results each serve distinctive roles within the research process. Collecting data refers to gathering information but does not delve into the analysis that reveals relationships. Presenting findings involves sharing results but comes after the analysis has been conducted. Interpreting results revolves around making sense of the data in the context of the research question, which is reliant on the thorough analysis that precedes it. Therefore, analysing data is the method that best demonstrates the relationship between key data and the research question.