Before you survey anyone
Consent, assent, minors, and the approval that must come before recruitment — not after.
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Curated guides, templates, and reading — the things worth knowing before you need them.
50 resources
Consent, assent, minors, and the approval that must come before recruitment — not after.
A decision path from your design to the right test, and what to do when the assumptions fail.
scikit-learn's own guide to data leakage, improper splits, and the mistakes that inflate accuracy.
Variables, controls, replication, randomisation, and blinding — what each one is protecting you from.
Practical rules for charts that have to be read across a table, in a noisy hall, in ten seconds.
A four-step method for getting from "I like marine biology" to a question you can test with the equipment you actually have.
The current rules and forms. Always download from here rather than reusing a copy from last year — numbering and requirements change.
Column structure, the 40% white-space rule, and what to cut when it does not fit.
Where to find the full text when the journal wants forty dollars for it.
The three-pass method: how to decide in ten minutes whether a paper is worth an hour.
Attribution, data handling, and the grey areas that get projects disqualified.
A folder layout and a set of habits that keep a computational project reproducible.
A seven-sentence skeleton that fits the usual word limit and covers everything judges look for.
What belongs in Introduction, Methods, Results, and Discussion — and the sentences that end up in the wrong one.
Twelve recurring interview questions and what a strong answer contains.
Working backwards from fair day, including the approval gates that stop work before it starts.
The four properties every fair-ready question has, with before-and-after rewrites.
Patterns that recur in projects that place, drawn from judging rubrics rather than from any single project.
Free, open-source reference manager. Captures papers from the browser, syncs across devices, and generates bibliographies in any style.
Fifteen checks to run on your abstract before submitting it.
BSL-1 and BSL-2 in practice, and which organisms are off-limits in a school setting.
Worked summaries of strong projects by category, with what made each one work. Study the structure — never copy the project.
Negative, positive, vehicle, and sham controls — and how to tell which your experiment needs.
Why the style matters less than the consistency, and the four fields you must never omit.
A one-page printable checklist to run against your procedure before data collection starts.
A fill-in template for stating design requirements, constraints, and test criteria before you build.
The widest net for academic literature. Use the "Cited by" and "Related articles" links — they are usually faster than a new search.
Sterile technique, sealed plates, and a disposal plan you can point a reviewer at.
The vocabulary of scientific caution, and why over-claiming costs more than it gains.
Every chart type with the code that produced it. Faster to find the plot you want here than to search for it.
A free, authoritative reference covering experimental design and analysis. Dense, but the design-of-experiments chapters are excellent and worth the effort.
What the null hypothesis is actually for, and why "I rejected the null" is not the same as "I proved my idea".
Turning "healthier", "faster", and "better" into something two people would measure the same way.
Official guidance on chemical hygiene in laboratories. Written for workplaces; the hazard-control logic transfers directly.
The official quick-start for the library most data analysis in Python runs through. Worth doing properly once.
Block out your board before you open the design software — content first, layout second.
The distinction judges probe and most students blur.
Which of the sixteen SDS sections actually change your protocol, and what to extract from each.
A drill for building an explanation that survives interruption, noise, and forty repetitions.
A five-column method for identifying and controlling hazards in mechanical, electrical, and thermal builds.
A large, searchable catalogue of starter projects by field and difficulty. Useful for seeing the shape of a project, less useful if you copy one wholesale.
Short, genuinely clear video explanations of statistical concepts, from the basics through to machine-learning methods.
Why chronological reviews read badly, and what to organise by instead.
Educational material on responsible conduct of research. Written for professionals, but the case studies are readable and the principles are the same.
How to identify all four in your own design, with a worked example.
The approvals, supervision, and welfare standards that apply before any vertebrate work begins.
An orientation to the common form set and the order it is completed in. Informational only — confirm every requirement with your own fair.
A worked template, plus the four failure modes that make a hypothesis untestable.
Wording, scales, and order effects — the bias you build in before anyone answers.
Why 94% accuracy can be a terrible result, and what to compare against instead.