Experiments

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16 Terms

1
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What are the 4 main types of experiments?

• Laboratory

• Field

• Natural

• Quasi

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What are the 3 experiment designs?

• Independent Groups

• Repeat Measures

• Matched Pairs

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What are Lab experiments?

Experiments that take place in very controlled and scientific environments- laboratories.

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What are Field experiments?

Experiments that take place in a natural situation so that they reflect the real world.

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What are Natural experiments?

Experiments that make observations on naturally occurring situations such as natural disasters.

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What are Quasi experiments?

Experiments where the independent variable is based on a pre-existing difference between people that cannot be manipulated such as age or race.

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What is an Independent Group design?

Independent group designs are when participants only take part in one condition each, resulting in needing seperate groups for each condition.

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What is a Repeated Measures design?

Repeated measures design is when you have hve one group of participants who do multiple conditions instead of only doing one.

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What is a Matched Pairs design?

Matched Pairs design is when participants are paired up based on key shared characteristics such as age or IQ before assigning them to a condition.

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Strengths and Weaknesses of Lab experiments:

✓ High reliability due to controlled and standardised environment

✓ Great control over extraneous variables

X low ecological validity

X risk demand characteristics

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Strengths and Weaknesses of Field experiments:

✓ high ecological validity

✓ low demand characteristics due to mundane and often covert setting

X less control over extraneous variables

X ethical concerns about lack of consent

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Strengths and Weaknesses of Natural experiments:

✓ high ecological validity

✓ allows researchers to study things that would otherwise be completely unethical and impossible to manipulate deliberately

X low reliability as it's hard to replicate these distinct occurrences

X no random allocation because groups are formed by circumstance so participants cannot be randomly assigned

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Strengths and Weaknesses of Quasi experiments:

✓ high ecological validity

✓ utilise existing groups which saves time

X hard to establish cause and effect because the IV isn't being directly manipulated

X lack of random allocation makes it hard to determine whether participants were equal at the start due to participant variables

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Strengths and Weaknesses of Independent Groups design:

✓ no order effects

✓ low risk of demand characteristics

X participant variables as differences amongst participants may affect results

X number of participants is doubled

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Strengths and Weaknesses of Repeated Measures design:

✓ participant variables should be gone as it's the same people

✓ fewer participants needed

X order effects like boredom or fatigue may occur

X demand characteristics risk increase

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Strengths and Weaknesses of Matched Pairs design:

✓ no order effects as it's different people in each condition

✓ participant variables are minimised through matching

X need twice as many participants

X time consuming and difficult to find participants who match