experimental designs Flashcards

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1
Q

experimental designs definition

A

how participants are allocated to the conditions of an experiment

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2
Q

independent groups

A

participants are allocated to different groups where each group represents one experimental condition

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3
Q

matched pairs

A

pairs of participants are first matched on some variable that may affect the DV. Then one member of the pair is randomly assigned to condition A and the other to B

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4
Q

repeated measures

A

all participants take part in all conditions of the experiment

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5
Q

random allocation

A

an attempt to control participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition as any other

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6
Q

counterbalancing

A

an attempt to control order effects in a repeated measures design. half the participants experience the conditions in one order, and the other half in the opposite order

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7
Q

strengths of independent groups

A
  • order effects arent a problem as participants only take part in 1 condition
  • demand characteristics less likely
  • standardised (can use the same materials in both groups)
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8
Q

weaknesses of independent groups

A
  • participant variables in each of the different groups arent the same so participant variables could be a CV
  • less economical as each participant can only contribute a single result so twice the amount of participants would be needed to produce the equivalent data of a repeated measures result
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9
Q

how to overcome weakness of independent groups

A
  • random allocation overcomes participant variables. (each participant has an equal chance of ending up in each condition)
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10
Q

strengths of matched pairs

A
  • order effects arent a problem
  • demand characteristics less likely
  • can use the same materials in both groups (standardised)
  • some participant variables are controlled
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11
Q

weaknesses of matched pairs

A
  • participant variables may still be a problem as we are unlikely to match all participants based on all variables
  • matching is time consuming and less economical
  • more participants needed than for repeated measures
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12
Q

how to overcome weaknesses of matched pairs

A
  • match them on fewer variables (computer)
  • pilot study to work out the most important participant variables and match them on those
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13
Q

strengths of repeated measures

A
  • participant variables not a problem as same people are in each condition
  • fewer participants needed so less time consuming and more economical
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14
Q

weaknesses of repeated measures

A
  • order effects
  • cant use the same materials in both groups (not standardised)
  • demand characteristics likely as participants take part in all conditions
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15
Q

how to overcome weaknesses of repeated measures

A
  • time gap between conditions
  • counterbalancing
  • use different materials but equivalent materials
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