How to Write a Research Proposal: Structure, Questions, and Methods

A research proposal is a plan for a piece of research — it argues that your question is worth investigating, that you have a viable method for investigating it, and that you have the background to carry it out. It is both a planning document and a persuasive piece of writing.

What a research proposal must demonstrate

A successful research proposal convinces readers of four things:

1. There is a genuine gap or problem — the research question addresses something not yet fully answered in the existing literature
2. Your question is answerable — it is specific, feasible within your time and resources, and methodologically tractable
3. Your approach is appropriate — the methodology is suited to the question
4. You understand the field — you have engaged with relevant literature and can situate your work within it

Standard structure

1. Title

Specific, descriptive, and accurate. A research proposal title should indicate the topic, context, and (usually) the method:

"The Effect of Interleaved Practice on Delayed Recall in Secondary School Biology: A Randomised Controlled Trial"

Not: "Research into how students learn biology"

2. Introduction and rationale (15–20%)

Establish:

• The research area and why it matters
• The specific problem or gap your research addresses
• The significance of filling this gap

End with a brief statement of your research question. The rationale is where you make the case for why this research is worth doing.

Common rationale structures:

• Practical problem: "Current approaches X are ineffective; this research investigates alternative Y"
• Theoretical gap: "Theory X predicts Y, but the empirical evidence is limited to adult samples; this study tests the prediction in an adolescent population"
• Methodological gap: "Existing studies use self-report measures; this study uses behavioural observation"
• Replication: "Key findings have not been replicated outside the original researcher's lab"

3. Literature review (25–35%)

The literature review in a proposal is shorter and more focused than in a dissertation. Its purpose is to:

• Show you understand the existing field
• Identify the specific gap your research addresses
• Establish the theoretical framework your research will use

Organise thematically (by argument or finding), not source by source. Every paragraph should build toward demonstrating the gap your research fills.

4. Research question(s) or hypothesis (5%)

State the research question(s) or hypothesis precisely. Well-formed research questions have these properties:

• Specific: "What is the effect of spaced practice on retention?" (not "How does learning work?")
• Feasible: answerable with available data, methods, and time
• Significant: the answer matters, at least in the context of the research area
• Ethical: the question can be investigated without causing harm

For quantitative research, convert the question into a testable hypothesis:

Research question: Does interleaved practice produce better long-term retention than blocked practice in secondary school mathematics?

Null hypothesis (H₀): There is no significant difference in delayed test scores between students who used interleaved practice and those who used blocked practice.

Alternative hypothesis (H₁): Students who used interleaved practice will score significantly higher on a delayed test than those who used blocked practice.

For qualitative research, a research question is usually more appropriate than a hypothesis:

Research question: How do undergraduate students describe their experiences of transitioning from secondary school to university-level academic writing?

5. Methodology (30–40%)

The methodology section is typically the most scrutinised part of a research proposal. It should address:

Research design:

• What approach will you use? (experiment, survey, interview, observation, case study, content analysis, secondary data analysis)
• Why is this design appropriate for your question?

Participants / data:

• Who or what will you study? (human participants, documents, datasets)
• How will you recruit or access them?
• Sample size and justification (for quantitative: power calculation; for qualitative: theoretical saturation)
• Inclusion/exclusion criteria

Procedure:

• Step-by-step description of data collection
• Instruments or materials (questionnaire, interview schedule, experimental stimuli)

Analysis:

• How will you analyse the data? (statistical test, thematic analysis, discourse analysis)
• Why is this appropriate?

Validity and reliability (quantitative) / Trustworthiness (qualitative):

• How will you ensure the quality of your findings?

6. Ethical considerations

Ethics approval is required for most research involving human participants. Address:

• Informed consent and right to withdraw
• Confidentiality and data storage (GDPR compliance in the UK)
• Potential risk to participants and how it will be managed
• Particular considerations for vulnerable populations (children, clinical populations)

Even if your institution's ethics committee does not formally review undergraduate work, demonstrating ethical awareness is expected.

7. Timeline

A timeline (or Gantt chart) shows that your project is feasible within the available time. Break the project into phases:

8. References

Full citation list for all sources cited in the proposal. Use the referencing style required by your institution.

Common research proposal mistakes

Too broad a research question — "How does social media affect society?" cannot be investigated in a dissertation. Narrow to a specific population, context, and outcome.

Methodology chosen before the question — The method should follow from the question. Students who choose their method first (often because they are more familiar with it) then force their question to fit it.

Literature review as annotated bibliography — The literature review should synthesise sources thematically and build to the gap, not list sources one by one.

Underestimating timelines — Add buffer to every phase. Data collection almost always takes longer than planned.

Ignoring ethics — Ethics sections written as an afterthought fail to engage with real risks. Think through who your participants are, what data you are collecting, and how it will be stored.

For help planning your argument structure, see How to Write a Dissertation and How to Write a Literature Review.