Great work! Now we have completed the analyses and have a lot of results to present. Here we want to summarize our most important findings and answer our research questions. It is important to make sure the research questions are addressed in this section. However, what to include in the results may differ quite a lot and there is more than one correct answer on how to structure this section properly. Here are a few things to consider:

• Summarize your most important findings, i.e. the results that answer the research questions (and perhaps something particularly interesting from your other analyses)
• Simply present the results, do not make any interpretations or discussions
• Make sure to address your most important findings in text, but do not simply list the exact same information in text as you have already shown in your table.
• When thinking of how to present your results, whether it is in text, tables, or figures, look at previously published studies with similar methods as you. You can get tons of inspiration from this, but do not be restricted to exactly how they do it. Discuss with your supervisor and do what is best for your thesis!
• It is worth thinking twice about if you have presented irrelevant results, if they are listed twice (perhaps once as a table and once in a graph), or if anything should be restructured. You want the results to be clear and concise!

Table on descriptive statistics

This is an example of how one can present the descriptive statistics of the study variables. Noteworthy information should also be addressed in the text. There are several ways to present the description of your analytical sample. For example, it could be relevant to describe your independent variable and covariates in relation to your outcome variable. A suggestion is to see how other published studies with similar methods have done it, as well as discuss it with your supervisor.

Tables on regression analyses

One way to structure the result section is in the order of your research questions. Another way to do it is based on the different analyses (which often is the same thing). The most important thing is to make it a clear structure that is easy to follow. Think about if the results are best presented in text, tables or graphs. Most likely a mixture will be most appropriate!

In Table 2, we have decided to present all of the linear regression analyses, where each covariate is added to the model in a step wise manner. This will give the reader a look at how much influence the variables have on the association, but is not always necessary. Most often, at least the unadjusted and the fully adjusted model is presented in the results.

Figure of the interaction

When presenting the results of the interaction analysis, it is important to state whether the interaction was significant or not and adding the p-value for the interaction. In our case, there was a statistically significant interaction effect (p=0.0106), which means that sex moderated the relationship between exposure to bullying and self-rated health issues. It may also be appropriate to present the marginsplot as a figure in the results, where we can see exactly what the moderating effect looks like and describe the interaction more closely. The graph has been changed a little bit from the original output in Stata that was shown in our methods. We used the Graph Editor and removed the heading of the graph, as well as changed the description of the y-axis and the background colour. This can be changed however you like, with a discussion with your supervisor and the results of your thesis in mind.

When all of the relevant results have been presented in a clear way, it is time to start thinking about the discussion part of your thesis!