What is the primary goal of data interpretation?

The primary goal of data interpretation is to explain the significance of data analysis results. This process involves taking the findings from data analysis and translating them into actionable insights, conclusions, or recommendations. It allows researchers and decision-makers to understand the implications of their data, identify trends or patterns, and make informed decisions based on the evidence presented. Effective data interpretation connects the quantitative results to the context of the research question, helping stakeholders grasp the relevance and importance of the findings.

Other activities such as data collection, determining the reliability of instruments, and summarizing existing literature, while critical components of the research process, do not directly focus on clarifying the meaning or implications of the findings from the analysis. Data collection is about gathering information, determining reliability pertains to assessing the trustworthiness of measurement tools, and summarizing literature deals with reviewing existing research to provide context. These elements support the overall research process but do not fulfill the primary role of interpreting data.