Research Proposal Template for High School Students (with Example)
Research Proposal Template for High School Students (with Example)
If you can write a strong research proposal, you can usually finish a strong paper.
A proposal forces you to do the hardest work early:
- define the question
- pick a method
- confirm you can access evidence
- state limitations honestly
Below is a high-school-friendly template (faculty-style, but simple).
The 6-Part Proposal Template
1) Research Question (1 sentence)
Use this structure:
> “To what extent does X affect Y for Z over T?”
2) Why it matters (2–4 sentences)
- what’s the real-world relevance?
- what debate/gap are you addressing?
3) Background / what’s already known (4–8 bullets)
- 3–6 credible sources
- key claims
- what they did not answer
4) Method (be concrete)
Explain:
- what method you’ll use (event study, regression, experiment, content analysis, etc.)
- what variables you’ll measure
- what a “result” would look like
5) Data / Evidence plan
List:
- data sources (public datasets, APIs, experiments, surveys)
- timeframe
- inclusion/exclusion rules
- how you’ll clean/verify data
6) Limitations (don’t hide them)
- what can’t your study prove?
- what confounders exist?
- what would you need to prove causality?
A filled example (economics/finance style)
1) Research Question
To what extent do U.S. CPI inflation surprises affect same-day returns of sector ETFs?
2) Why it matters
Inflation announcements influence expectations about interest rates and future earnings. If different sectors react differently, that has implications for how macro shocks transmit to markets.
3) Background
- Markets move on surprises, not headlines.
- Different sectors have different sensitivity to rates and costs.
- Prior work studies broad indices; sector-level differences are less clear for short windows.
4) Method
Event study:
- define event window: day 0 (release day)
- compute returns for selected sector ETFs
- measure CPI “surprise” as actual minus forecast
- analyse whether surprise size predicts sector return magnitude/direction
5) Data / Evidence
- CPI release dates and times (public)
- forecast vs actual (public sources)
- daily ETF prices (public)
- sample: last 5–10 years
6) Limitations
- correlation in short windows; cannot fully prove causality
- other same-day macro news could confound results
- forecast measure quality varies by source
Common proposal mistakes
- question is a theme (“AI in education”) not a testable claim
- method is vague (“I will analyse trends”)
- data source is missing or inaccessible
- limitations are ignored (which hurts credibility)
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If you want the week-by-week structure that turns a proposal into a full paper draft, download our free 8‑Week Research Roadmap + Proposal Template.
If you want 1:1 mentorship through the full process, that’s what the Core Research Fellowship is designed for.