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Reliability, Validity & Suggesting Improvements

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Edexcel IAL Biology  •  Unit 3: Practical Skills in Biology I

Reliability, Validity & Suggesting Improvements

🔍 Big idea: Reliability and validity are not the same thing, and the improvement that fixes one will not fix the other. A reliable experiment gives the same answer every time; a valid one measures what it claims to. You can be perfectly reliable and completely invalid.

Summary — What This Topic Covers

  • What reliable means, and how repeats improve it
  • What valid means, and why controlled variables decide it
  • Why an experiment can be reliable but not valid
  • Writing improvements that are specific enough to score
  • The difference between an improvement and an extension

1. Reliability

Key Term
A reliable result is one that would be obtained again if the experiment were repeated under the same conditions. It is about the consistency of the measurement, not its truth.
  • Judged by how closely the repeats agree with each other
  • Improved by taking more repeats and calculating a mean
  • Improved by reducing random error — finer apparatus, more consistent technique
  • Shown on a graph by short error bars and little scatter about the line
How to describe it
"The three repeats at 30 °C ranged from 13.5 to 14.5 cm³, a spread of only 1 cm³, suggesting the results are reliable." Quote the spread — that is the evidence.

2. Validity

Key Term
A valid experiment measures what it set out to measure. It requires that only the independent variable changed, and that the dependent variable genuinely reflects the thing being investigated.

Validity is decided by the controlled variables. If pH drifted while you varied temperature, any change in rate could have come from either, and the experiment cannot answer the question it asked — however consistent the numbers were.

  • Every relevant variable other than the IV must be held constant
  • A control is needed to show the effect is caused by the IV and not by the procedure itself
  • The measurement must actually reflect the biology — counting bubbles is a poor proxy for oxygen volume, because bubble size varies
The one they test
An experiment can be reliable but not valid: three repeats agreeing perfectly, all measuring the wrong thing. It can never be valid but unreliable in any useful sense — if you cannot reproduce it, you cannot claim it measured anything.

3. Controls

Key Term
A control is a run in which the independent variable is absent or inactive, everything else being identical. It shows what would have happened anyway.
INVESTIGATION CONTROL ───────────────────────────────────────────────────────────────── effect of enzyme on starch boiled (denatured) enzyme effect of light on rate tube wrapped in foil effect of a solution on mass distilled water, 0 mol dm⁻³ effect of an antibiotic disc disc soaked in sterile water

Note that a good control is not simply "leave it out" — it is the same procedure with the active factor removed. Boiled enzyme controls for the volume, the protein and the liquid; omitting the enzyme entirely does not.

4. Improvements That Score

The structure
Name the problem, then the specific change, then what it fixes. Three parts, as with risk assessment.

5. Improvement vs Extension

The difference
improvement extension

Practice Questions

Practice Question 1
Practice Question 2
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