Introduction
Writing the analysis section is a key step in any research essay. In this post, we'll cover best practices for clearly presenting your findings and relating them back to your research question. Most of these tasks are outside the frontier of AI, since they requiring subtle insights from combining multiple sources of information. In most cases, explaining logic of your approach is necessary. The use of LLM for this section is generally not recommended: you will need to use your own intelligence, since LLMs have none. Follow these tips and you'll impress readers with a well-structured analysis.
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Applying Your Methods
First, review the methodology you outlined earlier. Explain how each method was implemented to address your question. For surveys, discuss response rates and any weighting. If interviews, summarize participant demographics. Briefly reintroduce analytical tools from your literature review like frameworks, ensuring definitions for specialized terms are clear. Now you're ready to analyze your results cohesively. If you analyze data, do not limit yourself to using a spreadsheet, rather use statistical software just as free and open-source JASP.