RM- experimental designs

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How you are structuring an experiment

Last updated 4:35 PM on 9/20/26
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16 Terms

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Control group

The independent variable is absent so there is no manipulation in the condition to get a baseline reading.

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Experimental group

Manipulation of the independent variable to see how it affects the dependent variable.

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What are the 3 types of research designs

Independent group design, repeated measures design and matched pairs design

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Independent group design

Recruit participants, divide them into 2 separate groups and each group will sit a condition, measure the dependent variable for each group.

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Pros of independent group design

Easy to run- can be used in many scenarios

Less time needed than repeated measures

No problem with the order or practice effect

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Cons of independent group design

Individual differences- random allocation can reduce

Large sample needed- expensive

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Random allocation

Participants are randomly allocated to the different conditions which hopefully balances the groups

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Repeated measures

All participants do all conditions

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Pros of repeated measures

No risk of individual differences impacting the results of the study

Less participants needed

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Cons of repeated measures

Can experience demand characteristics- more opportunities to guess the purpose of the study

Order effect- performance can be affected due to tiredness, boredom or practice

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How to overcome cons of repeated measures

Counterbalancing

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Counterbalancing

Advanced form of repeated measures- half of the participants perform condition A first while the other half perform condition B first. This equally SPREADS the order effect

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Matched pairs design

Participants are matched by a specific characteristics, they then will sit seperate conditions- it is the gold standard out of three

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Matched pairs- pre-test

Participants must be matched by a pre- test

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Pros of matched pairs

No order effect

Reduced risk of individual differences

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Cons of matched pairs

Lots of participants needed to begin with- time consuming and expensive

Difficult to ensure pairs are matched adequately

Can’t control all individual difference