Panda Tip: One sentence for each question/assertion.
This is really part of the ‘notion of original research’ section. State whether you will plan to use different methods of data collection, and if so what they will be. Will you be using qualitative or quantitative collection of data?
Panda Tip: Length can vary immensely, but probably 300-1500 words or more, depending on the nature of your research.
This is one of the most important sections of your research proposal.
A good way of making your research aim clear is to state a clear research question, and back it up with 2-4 specific assertions or objectives. Do you have the necessary skills and qualifications to undertake your research (for instance foreign languages, statistical analysis, laboratory training, etc)? Once you have collected your data, what do you plan to do with it?
Example My central research question is as follows: Panda Tip: Approx. If not, what are your plans to acquire these skills (note: many postgraduate institutions offer considerable support in the acquisition of new skills necessary to perform research, but this will need discussing at the proposal stage)? Again, depending on the nature of your research, this section could be anywhere from one or two sentences to several paragraphs. This section states everything you won’t be able to do in your research.
This is the section that requires the most preliminary research: make sure you spend some time in an academic library and using search engines for relevant academic papers before presenting this.
You do not need to discuss every work in your area, but you need to present a competent outline, and, especially if this is a proposal for doctoral research, you need to be sure that no-one else has already done the same project.
Panda Tip: Depending on the length of your research proposal, you may wish to include a contents page for the proposal itself (not for your main research project: suggested contents for this is included in your Proposed Chapter Outline, section 9), as follows (add page numbers / subsections when you know them, depending on your research).
As you introduce sub-sections into your different sections, number them accordingly e.g.