Research Proposal Writing

The proposal is worth a small fraction of your final mark and determines most of it. Every later difficulty (a literature review with no boundaries, a method that cannot cover the ground, a conclusion that has to hedge) traces back to a question that was never narrow enough. Getting this document right in week two is worth more than anything you can buy in week twelve.

The seven sections

1. 1Working title. Descriptive rather than clever. It should name the population, the phenomenon and the context, and it will change.
2. 2Background and problem statement. The context, then the specific problem, in around 200 to 300 words. Ends by making the reader feel the question is worth asking.
3. 3Literature summary. 300 to 600 words establishing the debate and the gap. Not the full chapter, just enough to be credible.
4. 4Aim, objectives and research questions. One aim, three or four objectives, and questions that are answerable with the data you can realistically collect.
5. 5Methodology. Design, sampling, data collection and analysis approach, each with a one-line justification. Reviewers read this for feasibility above all.
6. 6Ethical considerations. Consent, anonymity, data storage, vulnerable participants, and whether you need formal approval. Do not skip this; an omitted ethics section reads as inexperience.
7. 7Timeline. Working backwards from submission, with ethics approval and recruitment costed honestly rather than optimistically.

Why proposals get rejected

Almost always scope. A supervisor reading “an investigation into the impact of social media on mental health” knows immediately that no dissertation can answer it, and that the student will discover this in month three.

Narrowing works on three axes, and a proposal usually needs all three:

The third version names a population, a platform, a construct, a context and a timeframe. It can be answered with twelve interviews. The first cannot be answered with anything.

Students resist this because narrowing feels like reducing ambition. It is the opposite: a narrow question lets you say something definite, and definite findings mark better than hedged ones.

Aims, objectives and research questions

These three are routinely conflated, and separating them properly makes the rest of the proposal fall into place.

• Aim. One sentence stating the overall purpose. “To examine how first-year undergraduates describe the influence of Instagram use on body image.”
• Objectives. Three or four steps that achieve the aim, each starting with a verb and each traceable to a later chapter. “To identify the platform features participants associate with body-image comparison.”
• Research questions. What you will actually answer with data. Each question should map to at least one objective, and each objective should be revisited in your conclusion.

A useful check: if an objective cannot be answered by any data you plan to collect, it is not an objective, it is an aspiration, and it will be conspicuously unanswered in your conclusion.

Matching method to question

The second most common rejection is a method that does not fit. A question asking how people describe or experience something is qualitative and needs interviews or focus groups. A question asking whether one variable predicts another is quantitative and needs a survey or existing dataset with enough cases to test it.

Attaching a survey to a “how do participants experience” question is the classic mismatch, and it usually happens because surveys feel easier to administer. They are, and they will not answer the question you asked.

Mixed methods are legitimate but they double the workload, which at taught level is rarely the right trade. Choose one and do it well unless your question genuinely requires both.

PhD application proposals

A doctoral application proposal has to do everything above and three more things.

• Demonstrate original contribution potential. Not that you have made one, but that the project could within three or four years.
• Show fit with a specific supervisor and department. Name the supervisor whose work yours extends, and be specific about how. Generic proposals sent to ten departments read as generic.
• Show awareness of feasibility and funding. Access to data or participants, and where relevant the studentship or funder you are applying to and its priorities.