Designing Experiments Flashcards

(28 cards)

1
Q

Experimental Methods

A

Experimental methods are the most rigorous way of testing hypotheses because they seek to establish cause and effect.

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2
Q

Experiment

A

Most rigorous test. Establishes cause and effect. 3 key features: manipulation of IV, randomisation and control.

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3
Q

What are the 4 types of experiments?

A
  1. Laboratory
  2. Quasi
  3. Field
  4. Natural
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4
Q

Laboratory

A

Meets all 3 key features.

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5
Q

Quasi

A

No randomisation. Participants allocated to conditions according to characteristics they already possess.

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6
Q

Field

A

Control of IVs but not EVs. Not necessarily random allocation.

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7
Q

Natural

A

None of the 3 key features.

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8
Q

Advantages of Laboratory Experiments

A
  • High level of control over IVs an EVs.
  • Replicability.
  • Can establish cause and effect.
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9
Q

Disadvantages of Laboratory Experiments

A
  • Lacks ecological validity.
  • Investigator effects.
  • Demand characteristics.
  • Artificiality.
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10
Q

Advantages of Quasi Experiments

A
  • High ecological validity.
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11
Q

Disadvantages of Quasi Experiments

A
  • Lack of control.
  • Not replicable.
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12
Q

Advantages of Field Experiments

A
  • High levels of ecological validity.
  • Less demand characteristics.
  • Can establish cause and effect.
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13
Q

Disadvantages of Field Experiments

A
  • Less control over EVs.
  • More time consuming.
  • Random allocation difficult.
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14
Q

Advantages of Natural Experiments

A
  • High levels of ecological validity.
  • Useful where it would be unethical or impossible to manipulate the IV.
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15
Q

Disadvantage of Natural Experiments

A
  • Loss of control over EVs; cannot establish cause and effect.
  • No random allocation of participants to conditions.
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16
Q

A true experiment has three key features:

A

1) Manipulation of the IV to produce a change in the DV.
2) Random allocation of participants to the different conditions.
3) Control of all the EVs so they remain constant.

17
Q

The three features of true experiments are met to different degrees by different types of experiments:

A

1) Lab experiments (meets all three features).
2) Quasi-experiment (manipulation of IV and control of extraneous variables but not randomisation. Participants are allocated to conditions according to characteristics that they already possess).
3) Field experiment (controls of the IV but not the EVs, not necessarily random allocation).
4) Natural experiment (no manipulation of IV or EVs, not random allocation.

18
Q

Experimental Design

A

In any basic experiment, there are two conditions; the experimental condition and the control condition.
Control condition is the condition where participants receive no experimental treatment. The group of participants who do not receive any experimental treatment are the control group and they act as a comparison to participants who do. A decision has to be taken as to whether participants will participate in one or both conditions. This will determine the experimental design.

19
Q

Three basic experimental designs:

A

1) Independent groups design.
2) Repeated measures design.
3) Matched pairs design.

20
Q

Independent groups design

A

Each participant takes part in one condition only. Participants are divided strictly on random basis. Should not be used unless there is some reason why repeated measures cannot be used.

21
Q

Advantages of independent groups design

A
  • Addresses order effects.
  • Reduces demand characteristics.
  • Can use the same stimulus.
22
Q

Disadvantages of independent groups design

A
  • Individual differences.
  • Less effective at controlling participant variables.
  • More participants needed.
23
Q

Repeated measures design

A

All participants perform under both conditions of the experiment. This introduces a confounding variable; order effect. To prevent it, counterbalancing; half of participants perform condition 1 before condition 2 and the other half perform condition 2 before condition 1.

24
Q

Advantages of repeated measures design

A
  • Prevents individual differences.
  • Fewer participants needed.
25
Disadvantages of repeated measures design
- Order effects. - Demand characteristics. - Can't use the same stimulus.
26
Matched pairs design
Imitates repeated measures design but without each participant performing under both conditions. Participants are matched on all relevant variables, that is all variables that may affect the DV. Difficult to decide which variables are relevant. Ideally identical twins raised together.
27
Advantages of matched pairs design
- Prevents individual differences. - Addresses order effects.
28
Disadvantages of matched pairs design
- Difficult to obtain/match - impractical. - More participants needed.