RM: experimental design + types Flashcards

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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

A
  • 2 separate groups of ppts experience 2 separate conditions of experiment
  • group 1 - control group
  • group 2 - experimental group
  • performance of 2 groups compared
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3
Q

what are the four TYPES of experiment

A

laboratory, field, Natural and Quasi

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4
Q

repeated measures

A

all ppts take part in all conditions of the experiment
- each ppt would experience control group condition + experimental group condition

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5
Q

AO3 for matched pairs

A
  • ppts can never be matched exactly
  • time consuming + expensive
  • Strength = no order effects/ demand characteristics
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6
Q

matched pairs

A
  • pairs of ppts first matched on some variables (I.e IQ)
  • one member of the pair is assigned to condition A and other is assigned to condition B
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7
Q

AO3 for independent groups

A
  • ppts who occupy different groups are not the same
  • results may vary bc of individual differences (ppt variables) (controlled using random allocation)
  • strength - order effects are not a problem
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8
Q

AO3 for repeated measures

A
  • order effect problems - ppts repeat 2 tasks (create boredom/fatigue) (order = confounding variable)
  • may work out study aim (Demand characteristics)
  • Strength - fewer ppts needed
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9
Q

Field experiments

A

experiment takes place in a natural setting
- IV is manipulated in a natural more everyday setting

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10
Q

strengths of Laboratory experiments

A
  • high control over extraneous variables - so can be sure that only IV is impacting DV (internal validity)
  • replication is possible because of level of control
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11
Q

counterbalancing

A
  • method for controlling order effects in repeated measures design
  • 1/2 ppts experience conditions in one order + 1/2 in the opposite order
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12
Q

Limitations of Laboratory experiments

A
  • may lack generalisability - conditions artificial
  • ppts aware they are being tested - demand characteristics
    -not representative of real life (Low mundane realism)
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13
Q

limitations of field experiments

A
  • ethical issues - ppts unaware they are being studied so cant give consent
  • loss of control of extraneous variables
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14
Q

Laboratory experiments

A
  • conducted in highly controlled settings
  • researcher manipulates IV
  • researcher maintains control of extraneous variables
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15
Q

natural experiments

A
  • researcher takes advantage of pre-existing IV
  • called ‘Natural’ because variable would have changed even without researchers presence
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16
Q

strengths of field experiments

A
  • high mundane realism - natural environment
  • ppts unaware they are being studied - higher external validity
17
Q

population

A

large group of people a researcher is interested in studying
- often called ‘target population’

18
Q

sample

A

group who take part in a research investigation
- sample is drawn from target population
- representative of target population - generalisable

19
Q

limitations of natural experiments

A
  • natural occurring event is rare - difficult to generalise to other scenarios
  • ppts not randomly allocated to experimental conditions
20
Q

Quasi experiments

A
  • IV is based on existing difference between ppl (i.e. gender, race)
  • IV is not manipulated, it simply exists
21
Q

strengths of quasi experiments

A

often carried out under controlled settings so same strengths as Laboratory experiments

22
Q

Limitations of Quasi experiments

A

cannot randomly allocate ppts to conditions so may be confounding variables

23
Q

strengths of Natural experiments

A
  • high external validity - involve study of real life issues/problems as they happen