Independent group design, Strength: Can have multiple groups. Ppts only take part in one condition, so there are no order effects. For the same reason it is more difficult for participants to figure out the true aims of the study., Weakness: Participant variability - since these are different people, it is likely that participants in the groups will not be completely equivalent at the start of the study., To overcome the weakness of this design, random allocation into groups will hopefully cancel out the pre-existing differences of individuals., Matched pairs design, Strengths: Useful when the researcher is particularly careful about certain confounding variables and wants to keep them constant in all groups., Strength: This design is useful when the sample size is not large and there is a chance that random allocation will end up producing groups that are not equvalent., Weakness: This design is more difficult to implement because matching variables need to be measured first. The researcher needs to know which variables are likely to be confounding., To overcome the weakness of this design the experiment needs to be simple with one matching variable and two groups., Repeated measures design, Strength: Participant variability is not a problem because ppts are compared to themselves. Therefore sample sizes can be smaller., Weakness: Order effects such as fatigue and practice., Weakness: Ppts take part in more than one condition which increases the chances that they will figure out the true aim of the study., To overcome the weakness of this design, counterbalancing is used (ABBA)

Experimental designs

by
Print
Embed

Leaderboard

Visual style

Options

Switch template

Continue editing: ?