A Practical Guide to Writing Your Thesis
(or any scientific text)

This work is released under the Creative Commons Attribution 4.0 International license (CC BY 4.0). Reproduction, distribution, and adaptation of the material for any purpose, including commercial use, is permitted, provided that credit is given to the original author.
Claude Code (Anthropic) was used as a support tool for language revision and English translation. The author takes full responsibility for the content.
Introduction
This guide is intended for students who are about to begin, or have already started, writing their thesis. The goal is not to provide absolute rules but practical suggestions that can make a real difference to the quality of the text. The advice here applies generally to any scientific text.
Literature Search
Knowing the Right Keywords
The first step in searching the scientific literature is knowing the correct keywords for your topic. These can be identified together with your supervisor at the beginning, and will grow richer and more numerous as your knowledge of the subject develops.
Where to Search
The two main tools for bibliographic research are: Google Scholar and PubMed.
Google Scholar is the most convenient starting point: it indexes a large number of scientific articles, theses, and books. Be careful with preprints (for example those on bioRxiv or PsyArXiv): these are works that have not yet undergone peer review and whose results may not be confirmed. My suggestion is not to avoid these sources entirely, but simply to bear in mind that they have not yet passed the peer-review process.
PubMed is the reference database for biomedical sciences. All results are peer-reviewed articles, making them more reliable in this respect, though coverage is narrower than Scholar.
Start with Review Articles
When beginning to study a new topic, it is good practice to start with review articles.
The literature search will need to be repeated several times during the writing of the thesis, also based on new knowledge and evidence that emerges in the course of study, discussions, or from reading articles found during an initial search.
How to Evaluate an Article
Not all articles carry the same weight. Some useful criteria for assessing quality:
- Peer review: always prefer articles published in peer-reviewed journals.
- Journal: journals with a high impact factor are generally more selective, but this is not the only criterion. Reputation within the field also matters.
- Predatory journals: there are journals that publish any work for a fee, without genuine peer review. If a journal name is unfamiliar, it is worth verifying its reputation.
When in doubt, ask your supervisor.
Organising the Literature: Reference Management Software
Collecting articles in a folder of PDFs is not a strategy. It is far more efficient to use reference management software, which allows you to organise articles, add notes, and automatically generate the bibliography for your thesis.
The most recommended tool is Zotero: it is free, open source, and integrates with Word, LibreOffice, and LaTeX. It lets you save articles directly from the browser with a single click and insert citations into the text automatically.
Alternatives: Mendeley (free but with more limitations).
Using LLMs for Literature Search
LLMs (Large Language Models), such as ChatGPT or Gemini, can be a useful aid for literature search. My recommendation is to use them to discover articles but not to retrieve factual information or citations.
LLMs are particularly useful for broadening your search scope or discovering new, relevant areas of literature — areas that might be highly pertinent but far from the keywords you would typically use. LLMs can also help identify key works or concepts.
At the time of writing this section (10/11/2025), LLMs can provide inaccurate or even entirely fabricated information that nonetheless sounds plausible (technically, these incorrect responses are called “hallucinations”).
The correct approach is therefore to ask LLMs broad questions to explore the field, but then include in your thesis only information verified in actual articles — never rely on facts reported directly by the LLM. Under no circumstances should you use “citations” suggested by an LLM (e.g., Smith et al., 2022. A handbook on clinical neuropsychology, Springer), as these too can be entirely invented.
Retrieving Article Files
Many articles are freely accessible. Before giving up:
- Check whether your university provides institutional access (often yes, via VPN or a university portal).
- Look for an open-access version on PubMed Central.
- Search the title on Google Scholar: a freely available PDF often exists.
- Contact the authors directly via ResearchGate or email: a positive response is very common.
Sci-Hub allows articles to be downloaded by bypassing paywalls, but it operates in violation of copyright law and is illegal in many countries.
Thesis Structure
The Typical Structure
The structure of a thesis varies depending on its type. A literature review thesis consists mainly of a survey of published work on a topic; an empirical thesis also includes the collection and analysis of original data.
For an empirical thesis, the typical structure is:
- Abstract
- Introduction
- Methods
- Results
- Discussion
- Conclusions (sometimes included within the discussion)
- References
A literature review thesis does not have Methods and Results chapters, but may have several theoretical chapters.
The Abstract
The abstract is a summary of the entire thesis, typically 150–300 words. It must include: the problem studied, the objectives, the methods, the main results, and the conclusions. It is often the last thing written, but the first thing the reader reads.
The Introduction
The introduction aims to take the reader from the general context to the specific problem of the thesis. An effective structure moves from broad to narrow: it starts with the general framing of the topic, progressively narrows to the relevant issues, and ends with the specific objectives of the study.
The final part of the introduction must make clear to the reader why this study was conducted and what was expected to be found.
Methods
The Methods chapter must be written with sufficient detail to allow another researcher to replicate the study. This is the guiding criterion. Include: participants (inclusion and exclusion criteria, demographic characteristics), materials and instruments used, the procedure, and the statistical analyses.
Results
In the Results chapter, data are reported without interpretation. Interpretation belongs in the Discussion. Every result mentioned in the text must be supported by statistics; every table and every figure must be referenced in the text.
The Discussion
The Discussion interprets the results and places them in the context of the literature. An effective structure:
- Briefly summarise the main results.
- Compare with the literature: what do your results confirm or contradict?
- Explain unexpected results, without ignoring them.
- Discuss the limitations of the study.
- Indicate possible future directions.
Avoid repeating the results at length: the Discussion must add interpretation, not simply reiterate what was already reported.
Conclusions
The Conclusions section is brief (a few paragraphs). It revisits the key points from the abstract and adds, where necessary, the practical or theoretical implications of the work. It must not introduce new arguments.
Writing the Thesis
Before You Start Writing
Before beginning to write, it is essential to have a general outline of what you intend to say. Starting to write without any kind of plan risks producing something that reads too much like a “stream of consciousness”, which is difficult to follow. A useful approach is to start with a general outline — even a very rough one — and progressively fill in the details.
Imagine a hypothetical empirical thesis comparing fMRI and MEG for presurgical mapping of functional brain areas. A possible outline for the introduction might look like this:
- Introduction to the need for presurgical mapping and the main techniques.
- fMRI in presurgical mapping.
- MEG in presurgical mapping.
- Studies on direct comparisons between MEG and fMRI in presurgical mapping.
- Rationale and objectives of the current study.
Even a rough outline like this helps you see the shape of what you are writing, and ensures all topics are covered while maintaining a logical thread. Once this is done, you can drill further into the detail:
- Introduction to the need for presurgical mapping and the main techniques.
- fMRI in presurgical mapping.
- Overview of studies.
- Advantages of fMRI.
- Disadvantages of fMRI.
- MEG in presurgical mapping.
- Overview of studies.
- Advantages of MEG.
- Disadvantages of MEG.
- Studies on direct comparisons between MEG and fMRI.
- Studies favouring fMRI.
- Studies favouring MEG.
- Rationale and objectives of the current study.
- …
One important feature already visible here is the maintenance of internal consistency. If fMRI is always discussed before MEG, that same order should be replicated throughout the text, in tables, in presenting results, and in figures.
Don’t Wait Too Long Before Starting to Write
Even though having a structure helps, one of the most common mistakes in writing is waiting until you feel fully confident before putting words on the page. This is the main cause of “writer’s block”. If a first sentence does not feel quite right at first, we wait. This is entirely wrong. It is always better to write freely, without worrying about everything being perfect immediately. The winning strategy is to write without overthinking, and then revise repeatedly. Revision is inevitable regardless.
Write, Revise, Rewrite, Revise Again, …
A very common mistake (especially when writing a thesis) is not revising the text adequately. A frequently used strategy is to write very carefully the first time, to avoid having to revise later and save time. This is a mistake, because it is virtually impossible to avoid errors in writing. If you do not revise the text, the only effect will be to irritate the person reading it for correction, who will get the impression of work done superficially. Revising (more than once) is unavoidable. The most effective strategy for writing a scientific text is to write freely, and then revise multiple times. Only by re-reading can you notice half-finished sentences, weak logical threads or arguments, or typos.
When you have finished a paragraph, a chapter, or any substantial section, it is useful to step back and analyse the structure of what you have written. What is the structure of my text? Does it have a clear logical thread? Is the connection between the various parts clear?
Consistency in Presenting Information
One thing that greatly helps the reader is consistency in how information is presented throughout the text. For example, if you discuss patients first and then control subjects, always maintain this order — in the text, in tables, when presenting results, and in figures. This consistency makes the text easier to read, allowing the reader to focus on the content rather than the form.
Simplicity of Style
When writing a scientific thesis, there can be a temptation to adopt a suitably formal or even elevated style. This is a mistake. The style for a thesis should be simple. As long as it is not childish, the style should be clear and direct. Avoid pompous or overly archaic terms that will sound unnatural and produce the opposite of the intended effect: they will make the text seem ridiculous.
For example, do not write:
Many have been the studies that have investigated the difference…
Better to use the more natural:
Many studies have investigated the difference…
The same reasoning applies to word choice. If a simple term exists to express something, do not reach for the unusual or more elevated alternative. Synonyms are fine for avoiding repetition, but choose the clearest option available.
Avoid Suspense
When writing a thesis, there is sometimes a tendency to withhold the result in order to keep the reader’s attention. This is wrong. It is very often better to state the result or conclusion up front, guiding the reader through the argument. If the reader cannot see where things are heading, they may lose interest, and the text becomes harder to follow.
Avoid Passive Voice; Avoid Nominalisations
Text is easier to read when passive constructions are minimised. Where possible, convert passive sentences to active ones. Active sentences are simpler and flow better. For example, instead of:
Reaction times were affected by TMS.
it is better to write:
TMS affected reaction times.
An exception arises in single-authored articles or theses, where using the impersonal construction may be more appropriate. For example:
The data were analysed using an ANOVA.
But if there are multiple authors:
We analysed the data using an ANOVA.
It is also better to avoid nominalisations — that is, using a noun where a verb would do. For example, instead of:
TMS produced a slowing of reaction times.
prefer the more natural:
TMS slowed reaction times.
Periodically Summarise Where Things Stand
Every so often, especially at the end of a paragraph, it is very useful to offer a brief summary of what has just been covered. This helps the reader organise the information they have read and understand how to mentally consolidate it. Periodic summaries also help the writer, as they force you to distil the main points and increase your awareness of what you have just written.
Simplify
In the text, always aim to simplify as much as possible. During revision, always ask yourself: could I simplify this sentence? If the answer is yes, proceed without hesitation. Do not be afraid to cut words. If a word adds no informational value to the text, it is better removed — it only makes reading harder.
Using LLMs to Revise Your Text
Using an LLM (ChatGPT, Gemini, Claude, etc.) to revise and improve the fluency of your text is something I accept (and it is also in line with many universities’ guidelines). It can be useful for streamlining complex sentences, correcting grammatical errors, or making the text read more smoothly. It is also recommended for catching typos or other errors that can slip by after reading a text many times (e.g., a sentence left unfinished).
What is not acceptable is using an LLM to define the content: the outline, the topics to be covered, the inferences, and the conclusions must come from you (see the previous section on using LLMs for research).
A few practical warnings:
- Always re-read the revised text. LLMs tend to introduce an artificial and repetitive style that an experienced reader will easily recognise. A text that sounds “written by an AI” will count against your thesis evaluation.
- Watch for typical signs of LLM style: frequent use of the em-dash (—) in place of a comma or semicolon, constructions like “not only… but also…”, sentences beginning with “It is important to note that”, excessively emphatic or artificially balanced tones. If you notice these features in the revised text, rewrite them in your own words.
Inserting Citations and Bibliography
Citations should ideally follow every statement that is not a personal opinion, hypothesis, or inference. For example, the sentence “Stroke is one of the leading causes of disability in adults” should be accompanied by a supporting citation.
Figures and Tables
Figures and tables do not speak for themselves: every figure and every table must be cited in the text (e.g., “as shown in Figure 1”). The caption must be self-contained: the reader should be able to understand what the figure shows without reading the surrounding text.
Use a figure when you want to show a trend, a distribution, or a visual comparison. Use a table when exact values are important or when there is a lot of data to compare.
Numbers and Statistics in the Text
When reporting statistical results, always include the test statistic, degrees of freedom, and p-value. For example:
TMS significantly slowed reaction times (t(28) = 3.4, p = .002).
Use a fixed number of decimal places consistently. By convention, p-values are reported to three decimal places (e.g., p = .034), except when they are very small (e.g., p < .001).
Numbers from one to nine are written as words; from 10 onwards, numerals are used. Exceptions include statistical values and measurements, which are always written as numerals.
Formatting
Every university has its own guidelines for thesis formatting (font, margins, line spacing, cover page). Check your institution’s requirements before you start writing, to avoid having to reformat everything at the end.
If no specific guidelines are provided, a standard formatting choice is: 12pt serif font (e.g., Times New Roman), 1.5 line spacing, 2.5 cm margins.
Working with Your Supervisor
Sending your supervisor drafts that are too short or incomplete is often counterproductive. As a practical rule:
- To receive feedback on style (tone, clarity, sentence construction), send at least 2–3 well-developed paragraphs.
- To receive feedback on flow (logical structure, coherence between parts, completeness), send at least a full chapter.
Bear in mind that your supervisor’s response time may vary. Plan accordingly, and send drafts well in advance of deadlines.
Plagiarism and Originality
Plagiarism is the use of another person’s text, ideas, or data without proper attribution. In academia it is a serious violation. It is not limited to verbatim copying: paraphrasing without citing the source is also plagiarism.
The practical rule is simple: every statement that is not the product of your own direct reasoning or the conclusions of your study must have a citation. When in doubt, cite.
Be aware of self-plagiarism as well: if you are reworking text you have already submitted (e.g., a course paper), it is good practice to declare it.
Many universities use anti-plagiarism software (e.g., Turnitin) to check theses before the defence. A high similarity score does not necessarily indicate plagiarism (it depends on how citations are handled), but it is better not to discover this at the last moment. A possibility is to use a free plagiarism check software (e.g. Scribbr Free Plagiarism Checker)