What aspect of research does 'data interpretation' involve?

Data interpretation is a crucial step in the research process that focuses on analyzing the collected data to extract meaningful insights and draw conclusions. This phase involves using statistical methods and analytical tools to examine trends, patterns, and relationships within the data, allowing researchers to understand the implications of their findings.

The essence of data interpretation lies in making sense of numbers and statistics by translating them into understandable information that can inform decision-making, support hypotheses, or guide future research. This process not only involves analyzing raw data but also integrating it with existing knowledge to provide a comprehensive view of the subject studied. It is essential for validating research objectives and ensuring that the results are actionable and applicable in real-world situations.