Experimental research Flashcards

1
Q

what is an experiment?

A

when one or more variables are manipulated to test a cause-effect relationship

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2
Q

what is an experimental/alternative hypothesis?

A

treatment leads to an effect

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3
Q

what is a null hypothesis?

A

treatment does not lead to an effect

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4
Q

what is a nuisance variable?

A

an additional factor that affects the dependent variable

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5
Q

how can nuisance variables be dealt with?

A

they can be turned into control variables

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6
Q

how can nuisance variables become confounding variables?

A

if they change across conditions

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7
Q

if the nuisance variable varies across all levels of the independent variable…

A

hold the variable constant for all participants

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8
Q

if nuisance variable varies across participants…

A

randomly assign participants to treatment across

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9
Q

counterbalancing

A

vice versa for the other half of participants

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10
Q

what is an experiment group?

A

they receive the important level of the independent variable

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11
Q

what is a control?

A

they serve as the untreated comparison group

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12
Q

if you have more than one IV, what should you do?

A

include them in the same experiment

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13
Q

why is it better to test IVs in the same experiment?

A
  • more efficient
  • better control of nuisance variables
  • results will be more representative of real behaviour
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14
Q

benefits of measuring more than one DV

A

it is usually more informative

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15
Q

limitations of measuring more than one DV

A

these variables might not measure the same thing, e.g., the speed-accuracy trade off

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16
Q

advantages of experimental research

A
  • relative strong test of causality
  • can manipulate a variety of controls, making it easier to eliminate nuisance variables
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17
Q

disadvantages of experimental research

A
  • unnatural settings and tasks reduce ecological validity
  • some phenomena cannot be studied under controlled conditions, e.g., social interaction
  • ethical limitations
18
Q

within-subjects design

A

repeated measures design

where all participants receive all levels of the IV

19
Q

advantages of within-subjects design

A
  • fewer participants needed
  • reduced individual differences
20
Q

disadvantages of within-subjects design

A
  • carryover effects
  • effect of one carries over between conditions
21
Q

how can disadvantages of within-subject design be dealt with

A
  • randomly allocating participants to groups
  • using matched participants design
22
Q

between-subjects design

A

independent measures design

where different groups of participants receive different levels of the IV

23
Q

advantages of between-subjects design

A
  • no order effects
  • some experiments can only be between-subjects, e.g, health or clinical interventions, or learning a skill
  • naive participants
24
Q

disadvantages of between-subjects design

A
  • lots of participants
  • more expensive
  • individual differences
25
Q

how can disadvantages of between-subject design be dealt with

A

randomising or counterbalancing the order of conditions

26
Q

what is counterbalancing?

A

a way to negate carryover effects

27
Q

problem with counterbalancing

A

it is too complicated to carry out when there are a high number of conditions

28
Q

what is the latin square design?

A

where each condition occurs equally at each stage of the experiment, e.g., ABCD each appear in all orders

29
Q

problem with latin square design

A

carryover effects are still possible

30
Q

what are quasi-experiments?

A

one (or more) IVs are selected, but not manipulated

31
Q

advantages of quasi-experiments

A

ability to examine variables that would be unethical to manipulate

32
Q

disadvantages of quasi-experiments

A
  • participants are not randomly assigned to IV levels, which can lead to confounding variables
  • impossible to make strong conclusions about cause-and-effect
33
Q

random sample

A

everyone has an equal chance of being chosen

34
Q

limitations of random sample

A

practically difficult to carry out, and often likely to be opportunity sampling

35
Q

stratified sample

A

random selection of each subgroup of the population

36
Q

quota sample

A

representative sample that meets quotas and targets

37
Q

what is EEG?

A

measures brain activity by placing electrodes on the scalp

38
Q

advantages of EEG

A
  • excellent temporal resolution
  • relatively inexpensive
39
Q

disadvantages of EEG

A
  • poor spatial resolution
  • artifacts (something else can cause an effect)
  • only surface activity information
40
Q

what is fMRI?

A

gives 2d and 3d views of the brain and measures activity through blood oxygen

41
Q

advantages of fMRI

A
  • excellent spatial resolution
  • access to all areas of the brain
42
Q

disadvantages of fMRI

A
  • poor temporal resolution
  • movement is restricted
  • expensive
  • claustraphobic