Research methods Flashcards

1
Q

experimental designs

A

different ways in which testing participants can be organised in relation too experimental conditions
matched pairs
repeated measures
independent measures

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2
Q

matched pairs

A

each condition uses different but similar participants

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3
Q

repeated measures

A

all participants experience both conditions

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4
Q

independent measures

A

participants experience 1 level of the IV

2 separate groups experience 2 different conditions

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5
Q

strengths of independent measures

A

avoids order effects

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6
Q

weaknesses of independent measures

A

less economical

extraneous variables

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7
Q

strengths of repeated measures

A

more economical

less chance of extraneous variables

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8
Q

weaknesses of repeated measures

A

order effects

more chance of demand characteristics

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9
Q

strengths of matched pairs

A

less individual differences

avoids order effects

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10
Q

weaknesses of matched pairs

A

time consuming

still extraneous variables

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11
Q

levels of data

A

nominal
interval
ordinal

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12
Q

nominal levels of data

A

categorise/classification

time of the day-AM or PM

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13
Q

ordinal levels of data

A

ordinal scale indicates direction

time of the day-night, dawn, noon, afternoon, evening

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14
Q

interval levels of data

A

same distance between each variable

time of day-1,2,3,4,5

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15
Q

graph distribution

A

normal
right-skew
left-skew

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16
Q

normal distribution

A

the graph isn’t skewed
both sides are even
mean, median, mode are all in the middle of the graph

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17
Q

right-skew

A

positive skew
right side is longer
mode is to the left of median and mode

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18
Q

left-skew

A

negative skew
left side is longer
mode is to the right of mean and median

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19
Q

hypothesis

A

null
alternative
directional
non-directional

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20
Q

null hypothesis

A

result is due to chance

no relationship between variables

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21
Q

alternative hypothesis

A

a relationship between the variables

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22
Q

directional hypothesis

A

significant increase
significant decrease
states the difference between the 2 variables

23
Q

non-directional hypothesis

A

significant difference

states there will be a difference between the 2 variables

24
Q

type 1 errors

A

the link is mistaken
believe the null hypothesis isn’t true so reject it
false positive
in reality the null is true

25
type 2 erros
don't think there is a link but there is believe the null hypothesis is true false negative in reality the null isn't true
26
values
find significant difference to accept/reject the null hypothesis
27
critical values
determines whether a result represents a real difference value a test result must exceed to be considered to be significant result compared to the critical value
28
observed value
observed value is compared to critical value | values found by conducting research
29
predictive validity
the extent to which findings can be used as an indication of future performance
30
concurrent validity
the extent to which a measure relates to an existing similar measure
31
face/content validity
where a measure is scrutinised to see whether it appears to measure what is it supposed to
32
historical/temporal validity
the extent to which findings can be generalised to other times/era
33
ecological validity
the extent to which findings can be generalised to other settings/situations
34
construct validity
the extent to which findings fit with theoretical knowledge
35
population validity
the extent to which findings can be generalised to other groups/individuals
36
internal validity
face/content concurrent construct
37
external validity
predictive ecological historical/temporal population
38
internal reliability
the consistency of the measuring device
39
external reliability
the consistency of the measure device over time
40
assessing internal reliability
spilt half
41
assessing external reliability
test-retest method
42
features of a science
``` objectivity falsifiable paradigm replicability theory construction empirical method ```
43
feature of science | objectivity
information based on fact
44
features of a science | falsifiable
the principle that a theory can't be considered scientific unless it admits the possibility of being proved untrue
45
features of a science | paradigm
set of shared assumptions and agreed methods within scientific discipline
46
features of a science | replicability
the extent to which scientific procedure can be repeated
47
extraneous variable
any other variable that isn't the IV which can effect the DV if it isn't controlled for
48
confounding variables
any variable other then the IV which may have affected the DV
49
randomisation
the use of chance in order to control for the effects of researcher bias
50
lab experiment
experiment that takes place in a controlled environment where the researcher manipulates the IV and records the effect on the DV
51
Field experiments
an experiment that takes place in a natural setting within which the researcher manipulates the IV and records the effect on the DV
52
natural experiment
an experiment where the change of the IV isn't brought about by the researcher and would have occurred if the researcher wasn't there the research records this effect on the DV
53
Quasi-experiment
the IV hasn't be determined by anyone the variables just exist