experiments + experimental designs Flashcards

1
Q

what are experimental methods? what are the 4 main experimental methods

A

4 = lab, field, natural and quasi
- they are methods that involves the manipulation of an independent variables to measure the effect on the dependent variable

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2
Q

what are lab experiments

A
  • take part in a controlled condition
  • they manipulate the IV and measures the DV
  • participants are aware of taking part in a experiement
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3
Q

strengths within a lab experiment

A
  • highly controlled
  • has high internal validity
  • can easily replicate to back up results
  • has high control over extraneous variables
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4
Q

weaknesses within lab experiments

A
  • low ecological validity
  • use of artificial tasks, so the findings can’t be generalised to real life situations/ environments
  • prone to demand characteristics
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5
Q

what are field experiments

A
  • done in an everyday setting
  • manipulates the IV and measures the DV
  • participants are often not aware of being participants in an experiment
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6
Q

strengths within field experiments

A
  • high ecological validity
  • researchers can easily generalise findings
  • has fewer demand characteristics, which increase the internal validity of field experiments
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7
Q

weaknesses within field experiments

A
  • has low internal validity
  • unable to fully determine the cause and effect
  • they can raise major ethical issues
  • can be unethical as doesn’t gather informed consent from the participants
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8
Q

what are natural experiments

A
  • every day setting/ controlled
  • iv is naturally occurring, and measures the DV
  • conducted when its not possible, for ethical and practical reasons to manipulate an IV
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9
Q

strengths within natural experiments

A
  • tend to have high ecological validity
  • more generalisable beyond the research setting, resulting in high external validity
  • reductions of demand characteristics and investigator effects
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10
Q

weaknesses within natural experiments

A
  • they can be difficult to replicate
  • they are often low in internal validity
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11
Q

what are quasi experiments

A
  • controlled/everyday settings
  • IV is a difference between people, and measures the DV
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12
Q

strengths within quasi experiments

A
  • enables comparisons between different types of people
  • carried through controlled conditions
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13
Q

weaknesses within quasi experiments

A
  • can not random allocate to research conditions to remove the issue of bias
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14
Q
A
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15
Q
A
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17
Q

what are experimental designs

A

refers to a way in which participants are used in experiments

18
Q

what are the 3 different types of experiments designs

A

independent groups design, repeated measures design and matched pairs design

19
Q

what are independent group measures

A

where each participant experiences only one condition

20
Q

strengths for an independent group measures

A
  • has order effects
  • increases external validity because more participants are used
21
Q

weaknesses for independent group measures

A
  • participant variables, differences between the people may affect the results, leading towards errors
22
Q

how to deal with the weakness within independent group design

A

randomly allocate participants to conditions which distribute participants variables evenly

23
Q

what are repeated measures design

A

where each participant experiences all the conditions

24
Q

strengths within repeated measures design

A
  • participant variables, same people do the tests in both conditions
  • number of participants, need to get the same amount of data
25
weaknesses for repeated measures design
- order effects, all done the same condition first - practise, any improvements in 2nd condition because they didn't practise
26
how can we deal with the limitations for repeated measures design
counterbalancing
27
what are matched pairs design
different participants in each condition but they are matched by an important variables
28
strengths within matched pairs design
- no order effects, different people in each condition - participant variables, important differences are minimised through matching
29
weaknesses within matched pairs design
- number of participants, need twice as many for the experiments for each condition - time consuming, and difficult to find participants to match
30
how to deal within the weaknesses of the matched pairs design
- restrict the number of variables to match on to make easier - conduct a pilot studies to consider key variables