A research paper stands or falls on its method: a focused question, a defensible sample and results reported honestly. A finished example shows how each section carries its weight.
Browse the model papers below, complete with data tables and figures, and use them as reference material for structuring your own study.
A university research paper is a piece of original or semi-original investigation, built around a specific question, a defined method for answering it, and a discussion of what the findings actually mean.
It differs from a standard essay because it reports on data you or your research team collected or reanalysed, rather than only synthesising arguments already published by other scholars.
Most UK modules that set a research paper are training students in the IMRaD structure, the same format used across scientific and social science journals, so the skill transfers directly to postgraduate study.
Some briefs ask for primary data, a survey, experiment or interview set you design and collect yourself, while others use secondary data, an existing dataset reanalysed to answer a new, tightly scoped question.
IMRaD stands for Introduction, Methods, Results and Discussion, and nearly every UK research paper brief follows this order, sometimes with an abstract and reference list added at either end. The table below sets out each section's role.
| Section | Typical Purpose | Approx. Share of Word Count |
|---|---|---|
| Abstract | Summarises question, method, key finding and conclusion in miniature | 5% |
| Introduction | States the research question and reviews relevant prior literature | 20% |
| Methods | Details sample, materials, procedure and analysis technique used | 20% |
| Results | Reports findings with tables, figures and statistical output | 20% |
| Discussion | Interprets findings against the literature and states limitations | 30% |
| References | Lists every source cited, formatted to the required style | 5% |
Weighting shifts by discipline, a psychology paper leans harder on the methods section than a humanities-adjacent social science paper does, but the five-part skeleton itself rarely changes across UK departments.
Ethics approval is another structural element many briefs require documenting, usually as a short statement noting the approving body and reference number, placed either in the methods section or a dedicated appendix.
The most frequent error is blending results and discussion together, stating a finding and interpreting it in the same sentence, which makes it hard for a reader to check the claim against the data.
A second common issue is a literature review in the introduction that summarises sources individually rather than synthesising them around the specific gap the current research paper is designed to address.
A third pitfall is inconsistent referencing between the in-text citations and the reference list, which is easy to avoid by checking every source appears, correctly formatted, in both places before submission.
The methods section must be detailed enough that another researcher could repeat your study exactly, covering sample size, recruitment, materials or instruments, and the precise analysis technique applied to the data.
Real data handling means showing your working: which statistical test was chosen and why, how outliers or missing values were treated, and what significance threshold was set before the data was collected.
Strong samples separate raw description from justification, stating what was done in one sentence, then briefly explaining why that choice suited the research question, rather than leaving the reader to infer it.
The results section reports findings without interpreting them: tables, figures and test statistics presented plainly, letting the numbers speak before any claim is made about what they mean.
Discussion is where interpretation happens, tying results back to the introduction's literature review, addressing whether the hypothesis was supported, and naming limitations honestly rather than glossing over a small sample or a confound.
Markers consistently reward a discussion that suggests a specific, feasible direction for future research, rather than a vague closing line about "more research being needed" in general terms.
A well-written discussion also revisits the paper's own limitations honestly, small sample size, a single data collection site, or a self-report measure, rather than presenting the study as beyond critique.
Read a sample research paper section by section rather than start to finish, comparing how the introduction's stated question is answered, precisely, in the discussion's opening paragraph.
Pay close attention to the methods section in particular, since this is where students most often lose marks through vague phrasing that would not let another researcher replicate the study.
Check how results are reported: note the balance between narrative sentences and table or figure references, and how statistical values are formatted consistently throughout the results section.
Reading two samples from the same discipline side by side often reveals more than reading one closely, since it shows which structural choices are conventions and which are a specific author's style.
Treat every sample here as a model answer for learning purposes only, useful for structure, method and referencing style, not a document to submit under your own name.
If your brief requires a full research paper built around your own data or research question, our research paper writing service pairs you with a writer experienced in your subject area.
For a longer-form example of the same IMRaD logic applied across an entire dissertation, our full dissertation samples collection shows how each chapter expands on a single research paper section.
Once you are comfortable with this structure, the broader academic writing samples hub is worth exploring too, covering essays, reports and reflective writing across every discipline and level.
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