Write the question, hypothesis, variables, equipment list, risk assessment, and method. Assign roles (leader, measurer, timekeeper, recorder).
Check: Does the plan include fair-test controls and safety considerations?
Flowchart
This is your investigation blueprint from question to reflection.
1) Plan
2) Do
Set up apparatus, carry out the method, take repeat measurements, and adapt if something isn’t working (record any changes).
Check: Is everyone following the method safely and consistently?
3) Record & analyse
Complete tables as you go, calculate averages, create graphs/diagrams, and identify patterns plus anomalies.
Check: Are the results organised with units, titles, and labelled axes?
4) Conclude & reflect
Write conclusions, evaluate reliability, suggest improvements, and pose new questions inspired by your findings.
Check: Have you commented on evidence strength and next steps?
Explanation
Planning stage
Combine everything from Chapters 6-1 to 6-6: pose a testable question, choose the enquiry type, define variables, select equipment, and identify risks. Prepare a table template before the practical session.
Practical stage
Follow the method step-by-step, keep variables controlled, and repeat measurements. Use timers, data loggers, or measuring cylinders accurately. Adjust calmly if equipment behaves unexpectedly and note the change.
Analysis stage
Convert raw data into tables, graphs, and diagrams. Look for patterns, calculate averages, and compare with predictions. Use the skills from Chapters 6-7 to 6-9.
Communication stage
Write evidence-based conclusions, evaluate reliability, and present findings using appropriate formats. Suggest improvements and new research questions.
Key Vocabulary
- Enquiry cycle: Plan ? Do ? Record ? Conclude.
- Risk assessment: Identifying hazards and controls.
- Replication: Repeating the whole investigation to confirm findings.
- Peer feedback: Comments from classmates/teachers to improve work.
- Next steps: New questions or improvements inspired by the investigation.
Why this matters
Being able to run an investigation end-to-end proves you have mastered the full Working Scientifically toolkit. It mirrors how real scientists operate in labs, hospitals, and field work.
Examples
Example 1: Comparing insulators
Plan a fair test to see which material keeps ice frozen longest. Assign roles, record temperatures every 5 minutes, create a line graph, conclude, and evaluate.
Example 2: Ramp and speed
Measure how ramp height affects toy-car speed using light gates. Repeat three times per height, plot a graph, and propose testing surface texture next.
Example 3: Microhabitat survey
Use quadrats to count minibeasts in sun vs shade, record conditions, calculate averages, and present findings as a poster for the school eco-board.
Example 4: Secondary research investigation
Collect data about global water use from UN databases, compare countries, and suggest why usage differs. Present findings with bar charts and annotated maps.
Practice
Answer all questions, then check your answers. Your quiz result is saved on this device.
Common Mistakes
Mistake 1: Skipping planning
× Wrong: Grabbing equipment and hoping for the best.
? Right: Write a clear method, list variables, and share roles before starting.
Mistake 2: Not recording changes
× Wrong: Adjusting the method but not noting it.
? Right: Log any alterations so your results make sense later.
Mistake 3: Poor teamwork
× Wrong: Everyone tries to do everything.
? Right: Assign roles so the investigation runs smoothly and safely.
Mistake 4: Forgetting reflection
× Wrong: Ending after the last measurement.
? Right: Always conclude, evaluate, and suggest next steps.
Summary
- Plan thoroughly: question, method, variables, risks.
- Work safely and efficiently with assigned roles.
- Record data in organised tables and graphs.
- Analyse, conclude, evaluate, and present findings clearly.
- Reflect on what you learned and what to investigate next.
Skills Checklist
- I can design, carry out, and record a full investigation.
- I can manage time, equipment, and team roles responsibly.
- I can analyse data to draw evidence-based conclusions.
- I can evaluate reliability and propose future questions.