Experimental Methods: Extraneous Variables & Controls Flashcards

(45 cards)

1
Q

● What is an extraneous variable?

A

An unwanted variable other than the IV that could affect the DV

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2
Q

● What does EV stand for?

A

Extraneous Variable

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3
Q

● What is a confounding variable?

A

An EV that has affected the DV

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4
Q

● What are the three types of extraneous variables?

A

Situational, participant, experimenter

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5
Q

● What is a situational variable?

A

An EV related to the environment

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6
Q

● What is a participant variable?

A

An EV related to the participant’s characteristics

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7
Q

● What is an experimenter variable?

A

An EV related to the researcher

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8
Q

● What is meant by internal validity?

A

The extent to which the IV affects the DV

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9
Q

● What is a demand characteristic?

A

Clues that cause participants to change their behaviour

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10
Q

● How do demand characteristics affect a study?

A

They reduce internal validity

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11
Q

● What is meant by controls in an experiment?

A

Steps taken to reduce EVs

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12
Q

● What is standardisation?

A

Using the same instructions and procedures for all participants

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13
Q

● What is randomisation?

A

Making parts of the procedure random to reduce bias

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14
Q

● What is random allocation?

A

Randomly placing participants into conditions

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15
Q

● What is counterbalancing?

A

Controlling order effects by varying the order of conditions

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16
Q

● What is a single blind procedure?

A

Participants do not know the study’s aim

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17
Q

● What is a double blind procedure?

A

Neither participant nor experimenter knows the aim

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18
Q

● What is experimenter bias?

A

When the researcher’s actions influence the results

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19
Q

● What is the aim of controls?

A

To increase internal validity

20
Q

● What is the role of a standardised script?

A

To ensure consistency across all participants

21
Q

▲ Why must a researcher control extraneous variables?

A

To ensure the IV is the cause of the DV changes

22
Q

▲ Which type of EV is influenced by IQ or personality?

A

Participant variable

23
Q

▲ Why is demand characteristics a problem in lab experiments?

A

Participants are more likely to guess the aim

24
Q

▲ How can we reduce the impact of experimenter variables?

A

Use a researcher unaware of the aim

25
▲ Why does random allocation reduce bias?
Each participant has an equal chance of being in any condition
26
▲ Why is a standardised script used?
To reduce differences in how instructions are delivered
27
▲ How does counterbalancing improve internal validity?
It spreads order effects across conditions
28
▲ What is an example of a situational variable?
Noise, lighting, time of day
29
▲ What is an example of a participant variable?
Age, IQ, gender
30
▲ Why is using the same environment for all participants important?
To reduce situational EVs
31
▲ How can we prevent demand characteristics?
Use a single blind or deception
32
▲ How does experimenter awareness of the aim create bias?
They may give cues or behave differently
33
▲ What would happen without controls in an experiment?
Results may be affected by EVs
34
▲ What is the purpose of randomisation when presenting a word list?
To prevent researcher bias in word order
35
▲ Why does counterbalancing use an ABBA structure?
To distribute order effects across both conditions
36
✪ Why do extraneous variables lower internal validity if not controlled?
They can affect the DV and confuse the effect of the IV
37
✪ How does experimenter bias reduce internal validity?
Their actions may unintentionally influence participant behaviour
38
✪ Why are demand characteristics more likely in repeated measures designs?
Participants take part in all conditions and may guess the aim
39
✪ How do standardised instructions increase internal validity?
They reduce variability in how participants are treated
40
✪ Why is a double blind procedure better than single blind for validity?
It controls both participant and experimenter bias
41
✪ How can situational variables become confounding variables?
If not controlled, they directly affect the DV
42
✪ Why is it incorrect to say that controls eliminate order effects?
They only reduce or balance them, not eliminate
43
✪ How does the use of another researcher reduce demand characteristics?
They do not know the aim and give fewer cues
44
✪ What is the consequence of uncontrolled participant variables in independent designs?
They may create differences in DV not due to IV
45
✪ Why must researchers not decide the order of conditions?
To prevent bias—randomisation is needed