IB Physics SL Inquiry 1 — Exploring & Designing Internal Assessment Calibration & fair testing ~9 min read

Controlling Variables

Listing your controlled variables is one thing; actually keeping them constant is another. This is the practical craft of experimental physics — the calibrating, insulating, and shielding that stops unwanted factors from quietly skewing your data. The goal throughout is to minimise systematic errors: the sneaky kind that shift every reading in the same direction. Master this and your results become genuinely valid and fair.

📘 What you need to know

Calibrating your instruments

Calibration is the process of checking an instrument’s readings against a known, reliable standard and adjusting it if necessary. It’s the first line of defence against systematic error — an uncalibrated instrument can be wrong by the same amount every single time, and no number of repeats will catch it.

InstrumentHow to calibrate / check
force sensorzero it with no load applied
motion sensorcheck it reads a known distance to an object correctly
digital thermometercheck against melting ice (0.0 °C) and boiling water (100.0 °C)
digital balancezero (tare) it before every use
ammeter / voltmetercheck it reads zero with no current or p.d.

A digital thermometer or temperature sensor is checked at two fixed points: pure melting ice, which should read 0.0 °C, and boiling distilled water at standard pressure, which should read 100.0 °C. If it’s off at these known points, you know it needs adjusting.

0.0 °C crushed ice 100.0 °C boiling water
Two fixed points check a thermometer: melting ice at 0.0 °C and boiling water at 100.0 °C.

A digital balance must always be zeroed — tared — before use, so you measure only the mass of the object and not the container or any drift in the electronics.

0.0000 kg tare first: reads zero 0.0550 kg then add object: true mass add object
Tare the balance to zero first, then add the object — the reading is now its true mass alone.

Maintaining environmental conditions

The lab itself can affect your results. Key conditions to watch are temperature, pressure, humidity, air currents (draughts), and light intensity. Temperature is often the most important, because it directly changes other quantities — density, gas pressure, and electrical resistance among them.

Draughts from windows or air conditioning can cool a substance and wreck a calorimetry experiment, so close windows or use a draught shield. And when a variable simply can’t be perfectly controlled — ambient room temperature might drift — the best practice is to monitor and record it, then discuss its impact in your evaluation.

Here’s a mindset that separates strong IAs from average ones: controlling a variable and monitoring one are both valid, but you have to be honest about which you’re doing. If you can hold something constant, do it. If you genuinely can’t, don’t pretend — record it and account for it later. Examiners reward that honesty far more than a vague claim that everything was “kept constant”.

Insulating against heat loss or gain

In any thermal experiment, the biggest source of error is unwanted heat exchange with the surroundings. Insulating the system is essential for accurate temperature data. Common techniques: use a polystyrene cup instead of a glass beaker (far better insulator), nest it inside a larger beaker for a trapped air layer, and add a lid with holes for the thermometer and stirrer to cut heat loss by evaporation and convection.

Reducing friction and resistance

Two more unwanted energy losses come up constantly in mechanics and circuits.

Reducing friction

Frictional forces reduce motion and drain energy as heat and sound. Reduce it by lubricating moving parts, adding bearings, or using low-friction apparatus like an air track — which floats a glider on a cushion of air for a near-frictionless surface, ideal for studying collisions.

Reducing electrical resistance

Every component and connecting wire has some resistance, causing unwanted heating. Reduce it by using shorter, thicker wires, keeping the current low, and ensuring connections are secure — loose or dirty contacts add extra resistance.

friction
→ air track →
resistance
→ thick wires →
heat loss
→ insulation →
fair test

Accounting for background radiation

In any experiment with radioactive sources, background radiation must be accounted for — it’s always present, from cosmic rays, rocks, and the air. Using a Geiger–Muller (GM) tube, first record a background count rate with no source present, then subtract it from every subsequent measurement, so you’re left with only the radiation from the source itself.

Corrected count rate corrected = measured − background
Quick recap: control variables to kill systematic error; calibrate instruments against known standards (ice/boiling water, tare the balance); manage the environment or monitor it; insulate, reduce friction and resistance; and subtract background radiation.
EXAMPLE

Controlling variables in a pendulum investigation

Research question

“What is the relationship between the length of a simple pendulum and its period of oscillation?”

Amplitude of the swing

Friction at the pivot

Air resistance

💡 Top tips

⚠ Common mistakes

That completes Inquiry 1: Exploring & Designing. You can now take a raw idea all the way to a controlled, replicable investigation — explore a focused question, design a valid method, and control the variables that keep it fair. Next in the scientific inquiry cycle comes collecting, processing, and evaluating your data.

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