experiments Flashcards

1
Q

what is a laboratory experiment

A

the independent variable is manipulated by the researcher and the experiment is carried out in a laboratory or another controlled setting away from participant’s normal environment

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2
Q
A
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3
Q

what is a field experiment

A

the independent variable is manipulated by the researcher but this time the experiment is carried out using participants in their normal surroundings

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4
Q

what is a quasi experiment

A

independent variable is naturally occurring, not manipulated by researcher

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5
Q

advantages and disadvantages of lab experiments

A

-reduces extraneous variables
-internal reliability as lots of controls

-low ecological validity
-more costly

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6
Q

advantages and disadvantages of field experiments

A

-ecological validity
-less costly

-more extraneous variables, low construct validity
-low internal reliability

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7
Q

advantages and disadvantages of quasi experiments

A

-high ecological validity
-helps study variables we can’t manipulate

-participant variables may influence results

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8
Q

what is repeated measures design

A

involves using the same people in each condition

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9
Q

what is independent measures design

A

involves using different people in each condition

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10
Q

what is matched participants design

A

involves using different people in each condition but matching them based on similar characteristics to make them as similar as possible

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11
Q

advantages and disadvantages of repeated measures design

A

-remove participant variables
-fewer participants needed overall

-demand characteristics
-order effects

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12
Q

advantages and disadvantages of independent measures design

A

-reduce demand characteristics
-no order effects

-more time consuming to collect larger sample
-participant variables

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13
Q

advantages and disadvantages of matched participants design

A

-reduced effect of participant variables
-no order effects
-no demand characteristics

-cannot control extraneous variables by perfectly matching participants
-more time consuming to find larger sample

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14
Q

what is a participant variable

A

age, intelligence, motivation, skill, experience, gender

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15
Q

how can participant variables be controlled

A

repeated measures/ matched participants design

independent measures- allocate participants to conditions randomly to evenly distribute participant variables

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16
Q

what is situational variables

A

order effects- if doing same activity twice participants may be better at it because of practice / worse because of boredom

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17
Q

how to control situational variables

A

matched participants/ independent measures design

repeated measures should be counter balanced, participants split into 2 groups, one does Task A first then B, one does B first then A

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18
Q

what are environmental factors

A

time of day, temperature, noise

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19
Q

how can environmental factors be controlled

A

impose controls on the experiment to ensure there are as few differences as possible

20
Q

what are demand characteristics

A

cues in an experiment that communicate to participant what is expected of them and which may unconsciously affect the behaviour of participants

21
Q

how to control demand characteristics

A

do not tell participants aim of investigation (single blind procedure)

22
Q

why might studies be double blind

A

to reduce risk of researcher effects eg researcher being more encouraging

eliminate researcher bias eg holding onto the data they expected / choosing specific participants

23
Q

what is a hypothesis

A

a precise testable statement of the relationship between two variables

24
Q

what is a two tailed alternative hypothesis

A

IV will have significant effect on DV but it does not predict the direction the effect will go in

eg: rainy weather has a significant effect on people’s levels of happiness

25
Q

what is a one tailed hypothesis

A

IV will have significant effect on DV in a specific direction

eg: men who have beards are perceived as significantly older than clean shaven men

26
Q

how do you operationalise a hypothesis

A

be SPECIFIC
old age: give age range
sporty people: sports for >2 hours

27
Q

strengths and weaknesses of self selecting sampling

A

-consent covered
-less researcher bias
-less likely to withdraw

-time consuming
-harder to obtain large sample so not representative

28
Q

strengths and weaknesses of opportunity sampling

A

-less time consuming
-easier to get large sample

-researcher bias
-participants not interested

29
Q

strengths and weaknesses of random sampling

A

-representative of target population as everyone has equal chance of being selected

-outliers
-may not be willing to take part

30
Q

strengths and weaknesses of snowball sampling

A

-easy to obtain sample quickly

-participant variables
-not able to generalise: family and friends have similar characteristics

31
Q

what are the 4 ethical considerations

A

respect
competence
responsibility
integrity

32
Q

respect ethics

A

-informed consent
-right to withdraw
-confidentiality

33
Q

competence ethics

A

researchers should not give advice for things they aren’t trained on

34
Q

responsibility ethics

A

-protection from harm
-debrief

35
Q

integrity ethics

A

-deception

36
Q

what is primary data

A

data that is collected by researcher directly

37
Q

what is secondary data

A

data that already exists which can be used in other research methods e.g crime statistics

39
Q

strengths and weaknesses of qualitative data

A

-rich in detail
-helps understand context
-holistic

-subjective due to researcher bias
-difficult to generalise (case study)
-time consuming

40
Q

advantage and disadvantage of using mean

A

-involves all data

-includes outliers which may skew result
-give us decimal figures so data more complex

41
Q

advantage and disadvantage of using median

A

-discounts outliers so not skewed

-does not include all data collected
-may be decimal - more complex

42
Q

advantage and disadvantage of using mode

A

-easy to calculate
-always a whole number
-can be done with qualitative data

-may be more than one mode
-doesn’t include all data

43
Q

advantage and disadvantage of using range

A

-easy to calculate (only 2 numbers)
-helps identify outliers

-ignores central tendency
-sensitive to outliers

44
Q

advantage and disadvantage of using variance

A

-takes all data into account
-identifies patterns in data

-complex to calculate
-sensitive to outliers

45
Q

advantage and disadvantage of using standard deviation

A

-takes all data into account
-integral to statistical tests

-time consuming
-more difficult to calculate than range