experimental design Flashcards

1
Q

experimental design

A

the different ways in which the testing of participants can be organised in relation to the experimental conditions

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2
Q

independent groups design

A

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

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3
Q

repeated measures design

A

all participants take part in all conditions of experiment

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4
Q

matched pairs design

A

pairs of participants matched on variable(s) that may affect the DV
one member of pair assigned to condition A, the other B

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5
Q

independent groups- strengths

A
  • order effects not an issue

- demand characteristics less of a problem, less likely to guess aims

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6
Q

independent groups- weaknesses

A
  • individual differences/participant variables may be to blame for changes of the DV rather than the effects of the IV, less internal validity
  • use random allocation to deal with this
  • less economical, twice as many participants needed to produce equivalent data to repeated measures
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7
Q

repeated measures- strengths

A
  • participant variables are controlled

- more economical than independent groups, fewer participants needed

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8
Q

repeated measures- weaknesses

A
  • order effects (confounding variable), could cause boredom/fatigue leading to deterioration in performance on second task, or performance improves through practice
  • to deal with this researchers use counterbalancing
  • more demand characteristics, more likely to work out aim
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9
Q

matched pairs- strengths

A
  • order effects and demand characteristics less of a problem

- some reduction of participant variables

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10
Q

matched pairs- weaknesses

A
  • some reduction of participant variables, but participants can never be matched exactly
  • matching time-consuming and expensive (especially if pre-test involved) so less economical
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11
Q

random allocation

A

an attempt to control for 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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12
Q

counterbalancing

A

an attempt to control for 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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