Psychology Experimental Design

There are three main experimental designs, each with their own strengths and weaknesses.

Independent Measures

  • Separate groups of people are used in separate conditions.

Strengths

  • Order effects (when participants become aware of or bored with an experimental procedure) are avoided.

Weaknesses

  • Individual differences between groups, otherwise called “participant variables”, may affect the results (what if one group has people who have a naturally higher IQ than people in the other group?) – this lowers the validity of the experiment.
  • A larger amount of participants are needed in this experimental design.

Repeated Measures

  • Same group of people is used in different conditions.

Strengths

  • Participant variable problems are avoided.
  • This experimental design requires less participants because the same group is re-used.

Weaknesses

  • Order effects are very likely to occur; participants may become bored, aware or tired.

Matched Pairs

  • Testing separate groups of people but each group’s members have their own common characteristics (e.g. same sex, same eye colour, same ethnicity, etc.).

Strengths

  • The issue of participant variables is greatly reduced.
  • Order effects are totally avoided.

Weaknesses

  • It is pretty much impossible to match people exactly on every characteristic; unless maybe they are identical twins – and even then, it is usually just matching physical characteristics.
  • It is very time-consuming to find lots of people that match each other so closely.

 

Solutions to reduce/eliminate order effects:

  • Counterbalancing means to change and alternate the order in which participants are performing different conditions during an experiment. For example: Group 1 does Activity A then Activity B and then Group 2 does Activity B and then Activity A.
  • Randomisation means to present material in random orders during an experiment.