Experimental Methods :) Flashcards

(30 cards)

1
Q

What are the steps to designing a TRUE experiment? (4)

A
  • decide sampling method
  • operationalise variables
  • choose experimental design
  • control variables
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2
Q

Define demand characteristics.

A

participants’ behaviours/responses affected by their interpretations of the study’s purpose based on cues

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3
Q

Define experimenter effects.

A

participants’ behaviours/responses affected by cues (unknowingly) given by the experimenter

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4
Q

What are the types of experimental blinding?

A

single-blind, double-blind

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5
Q

Define single-blind. How frequently is this used?

A

participants don’t know which condition they’re in; almost always used

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6
Q

Define double-blind. How frequently is this used?

A

participants and experimenter don’t know which condition they’re in; rarely used

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7
Q

What’s the difference between probability and non-probability sampling?

A

whether you can specify the probability of an individual being selected

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8
Q

What is the advantage of probability sampling (and thus the disadvantage of non-probability sampling)?

A

can ensure the sample is representative –> high external validity; generalisable

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9
Q

random sampling

A

equal chance of being picked

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10
Q

What is the main disadvantage of random sampling?

A

impractical (we rarely have access to everyone in the population)

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11
Q

convenience sampling

A

whoever is readily available

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12
Q

What is the disadvantage of convenience sampling?

A

unequal probability of being selected - prone to bias

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13
Q

What are the variations of convenience sampling?

A

quota sampling; referral/snowball sampling

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14
Q

quota sampling

A

sample people with specific traits until you have enough in each category

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15
Q

referral/snowball sampling

A

ask participants to refer others with similar traits

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16
Q

When is referral/snowball sampling most common?

A

qualitative research; niche population

17
Q

What is the issue with sampling bias?

A

not representative –> threatens external validity –> limits generalisability

18
Q

What are some types of sampling bias?

A

self-selection (volunteering); non-response

19
Q

What are between-participants designs (A.K.A. independent measures)?

A

different people in each condition

20
Q

What are within-participants designs (A.K.A. repeated measures)?

A

same people in each condition

21
Q

What is the disadvantage of between-participants designs (and thus the advantage of within-participants designs)? How is this dealt with?

A

individual differences may cause bias; random allocation

22
Q

What is the disadvantage of within-participants designs (and thus the advantage of between-participants designs)? How is this dealt with?

A

order effects; counterbalancing

23
Q

order effects

A

order of conditions affects results

24
Q

counterbalancing

A

different participants do conditions in different orders

25
What are the types of order effects?
carry-over effects: practice effects, fatigue effects
26
carry-over effects
the effect of being in one condition influences behaviour in another
27
practice effects
performance in the later condition increases due to practice in the previous condition
28
fatigue effects
performance in the later condition decreases due to fatigue from the previous condition
29
What are the features of mixed designs?
- 2+ predictor variables - at least 1 is between-participants, at least 1 is within-participants
30
How can you increase the trustworthiness of your (published) research?
transparency - openly acknowledging limitations