A brief statement of how each result relates to the question, or whether the hypothesis was supported.Remember, these numbers are often placed in parentheses. This can include any relevant descriptive statistics (e.g., means and standard deviations) as well as inferential statistics (e.g., t scores, degrees of freedom, and p values). A concise summary of each relevant result, both positive and negative.A more detailed description of your analysis should go in your methodology section. A reminder of the type of analysis you used (e.g., a two-sample t test or simple linear regression).The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. It should also state whether or not each hypothesis was supported. Your results section should report the results of any statistical tests you used to compare groups or assess relationships between variables. If you conducted quantitative research, you’ll likely be working with the results of some sort of statistical analysis. Be sure to check your departmental guidelines for any formatting questions. In some types of qualitative research, such as ethnographies, the results are often woven together with the discussion. NoteIn a few fields, including a separate results section is not common practice. Think of it like a shoe shop: first discuss the shoes as a whole, then the trainers, boots, sandals, etc. Always start out with your broadest results first, and then flow into your more granular (but still relevant) ones.If you have other results you’d like to include, consider adding them to an appendix or footnotes.Avoid speculative or interpretative words like ‘appears’ or ‘implies’. Only include results that are directly relevant to answering your research questions.While the length of this section depends on how much data you collected and analysed, it should be written as concisely as possible.Your results should always be written in the past tense.This gives your reader a clear idea of exactly what you found and keeps the data itself separate from your subjective analysis. When conducting research, it’s important to report the results of your study prior to discussing your interpretations of it.
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