Research methods - Design issues in Experiments.

Independent measures design, repeated measures design and matched participant design.

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Independant Measures Design.

This means different participants in each condition.

Advantages

  • No order effect because each participant only does the task once.
  • No demand characteristic as participants are unable to guess the aims.
  • Can use the same materials meaning low cost.

Disadvantages

  • Participant variables are not controlled meaning that bias could occur
  • Participants could be to different.

Ways of dealing with the disadvantage(s)

  • Random allocation of participants into groups so as to gain a diverse and unbiased sample.
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Repeated Measures Design.

This means the same participants in each condition.

Advantages

  • No participant variable.
  • Need less people meaning low cost and less time.

Disadvantages

  • Order effect (may not be able to conduct second condition immediately.
  • Need different materials.
  • Practice Effect.

Ways of dealing with the disadvantage(s)

  • Choose independant design instead.
  • Leave a long time between each condition.
  • Altering the test but still maintaining the same level of difficulty.
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Matching Participants Design.

This means different participants in each condition matched with a member of the other group. Such as ethnic background, gender, age, social background, economic status amd education status.

Advantages

  • No order effect.
  • Participants variables minimised.
  • No wait nessacary for participants to forget the first condition.

Disadvantages

  • Same participant variables may make it hard to find the perfect match.
  • Time consuming.

Ways of dealing with the disadvantage(s)

  • randomly allocate pairs to conditions by doing this the factors unmatched and unknow are distributed evenly across the conditions.
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Comments

Claire thomas

i like these, very good :)

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