Today’s workshop focuses on the purpose and structure of the results section of a research paper. You will also learn about primary and secondary analysis and how to use non-textual elements to present your results. By drawing on the learning resources and actively engaging in class discussion and independent and small group exercises, you will address the following questions:
What is data analysis? What are the objectives of data analysis?
What is secondary data analysis? How does it differ from primary data analysis? How is this similar to and different from a literature review?
What is the added value of secondary data analysis? What are the advantages and disadvantages of secondary data analysis? What makes secondary data analysis suitable for an undergraduate research paper?
What is the purpose of the results section? Why is this section necessary?
What structural elements must be included in the results section to serve its purpose? How does the logic of your data analysis help you structure the results section?
How might you use graphs, tables and figures to present the results of your secondary analysis?
Why are accessibility, clarity, completeness and systematic presentation of the results section important?
How long (proportion of the paper) does the results section need to be to serve that purpose?
What can you learn about drafting the results section by evaluating examples of published research papers?