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Experimental designs

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An experimental design is how participants are allocated to the conditions of an experiment. There are three designs.

Three designs

Independent measures: different participants take part in each condition. Participants should be randomly allocated to conditions.
Repeated measures: the same participants take part in all conditions.
Matched pairs: participants are matched in pairs on important characteristics (such as age, IQ or gender). One of each pair goes into each condition.

Strengths and weaknesses

Each design solves one problem but brings another.

Choosing a design

Use repeated measures when participant differences matter a lot and order effects can be counterbalanced.
Use independent measures when taking part in one condition would affect the other (for example, the same memory test twice).
Use matched pairs when participant variables are important but order effects would be a problem, as in Van Houtte and Jarvis (1995), where pet owners were matched with non-owners.
Bandura, Ross and Ross (1961) used groups matched on existing aggression levels.
Worked example

A study compares memory in the morning and in the evening using the same 20 participants. Name the design and give one weakness.

  1. The same participants do both conditions: repeated measures.
  2. They may do better the second time because of practice: an order effect.

Answer: Repeated measures. Weakness: order effects such as practice or tiredness.

Key idea

Independent measures uses different people in each condition (no order effects, but participant variables). Repeated measures uses the same people (no participant variables, but order effects). Matched pairs matches people on key characteristics (reduces both problems, but matching is hard).

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