Article: Your analysis generally depends on whether your approach is qualitative, quantitative, or a mixture of the two. If you're using a quantitative approach, you may be using statistical analysis. With a qualitative approach, state what theoretical perspective or philosophy you're using. Depending on your research questions, you may be mixing quantitative and qualitative analysis – just as you could potentially use both approaches. For example, you might do a statistical analysis, and then interpret those statistics through a particular theoretical lens. Ultimately, your overall methodology should be capable of producing answers to your research questions. If it isn't well-suited, you need to either adjust your methodology or reframe your research question. For example, suppose you're researching the effect of college education on family farms in rural America. While you could do interviews of college-educated people who grew up on a family farm, that would not give you a picture of the overall effect. A quantitative approach and statistical analysis would give you a bigger picture. Relate your methodology back to your original research questions and present a proposed outcome based on your analysis. Describe specifically what your findings will reveal about your research questions.  If in answering your research questions, your findings have raised other questions that may require further research, state these briefly. You can also include here any limitations to your methods, or questions that weren't answered through your research. You may be able to transfer your findings to other contexts, or generalize them to broader populations. Transferability can be difficult in social science research, particularly if you used a qualitative approach. Generalization is more typically used in quantitative research. If you have a well-designed sample, you can statistically apply your results to the larger population your sample belongs to.

What is a summary?
Describe how you analyzed your results. Explain how your analysis suits your research goals. Identify how your analysis answers your research questions. Assess whether your findings can be transferred or generalized.