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Controlling extraneous variables
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Researchers use several techniques to control extraneous variables so that only the IV affects the DV.
Standardisation, counterbalancing and randomisation
Counterbalancing: used in repeated measures designs. Half the participants do condition A then B; the other half do B then A. This balances out order effects (practice, boredom, tiredness). Strength: order effects affect both conditions equally. Weakness: it does not remove order effects, only spreads them.
Randomisation: using chance to decide things, such as which participants go in which group, or the order of items. Strength: reduces researcher bias and spreads participant variables evenly. Weakness: by chance, groups can still end up unequal.
Single-blind and double-blind
Double-blind: neither the participants nor the researcher who collects the data know which condition each participant is in. Strength: reduces both participant and researcher bias. Weakness: harder and more expensive to organise.
Example: in a drug trial, some people get the real tablet and some get a placebo (a fake). In a double-blind trial, neither they nor the person testing them knows which they got.
Choosing the right control
In a repeated measures study, all participants do a memory test in silence and then with music. Why is this a problem, and how could it be fixed?
- By the second test, participants may have improved with practice or become tired: order effects.
- Counterbalancing: half do silence first, half do music first.
Answer: Order effects could affect the results; counterbalancing balances them across conditions.
Standardised procedures keep everything the same; counterbalancing balances order effects in repeated measures; randomisation uses chance to reduce bias; single-blind hides the condition from participants; double-blind hides it from participants and researchers.
The interactive lesson includes the diagrams for this topic.
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