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

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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3
Q

what is a quasi experiment

A

independent variable is naturally occurring, not manipulated by researcher

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4
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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5
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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6
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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7
Q

what is repeated measures design

A

involves using the same people in each condition

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8
Q

what is independent measures design

A

involves using different people in each condition

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9
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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10
Q

advantages and disadvantages of repeated measures design

A

-remove participant variables
-fewer participants needed overall

-demand characteristics
-order effects

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11
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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12
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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13
Q

what is a participant variable

A

age, intelligence, motivation, skill, experience, gender

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14
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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15
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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16
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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17
Q

what are environmental factors

A

time of day, temperature, noise

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18
Q

how can environmental factors be controlled

A

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

19
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

20
Q

how to control demand characteristics

A

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

21
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

22
Q

what is a hypothesis

A

a precise testable statement of the relationship between two variables

23
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

24
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

25
how do you operationalise a hypothesis
be SPECIFIC old age: give age range sporty people: sports for >2 hours
26
strengths and weaknesses of self selecting sampling
-consent covered -less researcher bias -less likely to withdraw -time consuming -harder to obtain large sample so not representative
27
strengths and weaknesses of opportunity sampling
-less time consuming -easier to get large sample -researcher bias -participants not interested
28
strengths and weaknesses of random sampling
-representative of target population as everyone has equal chance of being selected -outliers -may not be willing to take part
29
strengths and weaknesses of snowball sampling
-easy to obtain sample quickly -participant variables -not able to generalise: family and friends have similar characteristics
30
what are the 4 ethical considerations
respect competence responsibility integrity
31
respect ethics
-informed consent -right to withdraw -confidentiality
32
competence ethics
researchers should not give advice for things they aren't trained on
33
responsibility ethics
-protection from harm -debrief
34
integrity ethics
-deception
35
what is primary data
data that is collected by researcher directly
36
what is secondary data
data that already exists which can be used in other research methods e.g crime statistics
37
strengths and weaknesses of qualitative data
-rich in detail -helps understand context -holistic -subjective due to researcher bias -difficult to generalise (case study) -time consuming
38
advantage and disadvantage of using mean
-involves all data -includes outliers which may skew result -give us decimal figures so data more complex
39
advantage and disadvantage of using median
-discounts outliers so not skewed -does not include all data collected -may be decimal - more complex
40
advantage and disadvantage of using mode
-easy to calculate -always a whole number -can be done with qualitative data -may be more than one mode -doesn't include all data
41
advantage and disadvantage of using range
-easy to calculate (only 2 numbers) -helps identify outliers -ignores central tendency -sensitive to outliers
42
advantage and disadvantage of using variance
-takes all data into account -identifies patterns in data -complex to calculate -sensitive to outliers
43
advantage and disadvantage of using standard deviation
-takes all data into account -integral to statistical tests -time consuming -more difficult to calculate than range