paper 1-research methods Flashcards

(46 cards)

1
Q

lab experiments

A

highest level of control over variables
researcher can manipulate independent variable to see effect on dependant variable

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2
Q

field experiment

A

investigations carried out in natural enviorment but still manipulates IV to see change in DV

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3
Q

natural experiments

A

things experimenter cannot change

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4
Q

hypothesis

A

precise statement which clearly states relationship between variables being investigated
can be directional or non-directional

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5
Q

directional hypothesis

A

states direction of the relationship shown between variables
used when previous research has been carried out

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6
Q

non directional hypothesis

A

does not state direction of relationship shown between variables
used when no previous research has been carried out

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7
Q

aim

A

precise statement of why study is taking place
what’s being studied
what the study is trying to achieve

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8
Q

hypothesis

A

more precise then aim
predicts what is expected to happen

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9
Q

strengths of lab experiments

A

high degree of control
experimenters control all variables
leads to greater accuracy

replication-researchers can easily repeat experiments and check results

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10
Q

limitations of lab experiments

A

low ecological validity-high degree of control makes situation artifical, unlike real life

experimenters bias-particpants may be infleuned by expectaions effecting results

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11
Q

field experiment

A

experiment conducted in more natural environment
but variables are still controlled

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12
Q

strengths of field experiments

A

high ecological validity-more natural behaviours take place

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13
Q

weaknesses of field experiments

A

ethical considerations-invasion of privacy and likley to have not given informed consent

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14
Q

quasi experiment

A

experiment where IV has not been determined by researcher
instead, naturally exists

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15
Q

strengths of quasi experiment

A

high internal validity-controlled conditions hence replicable

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16
Q

natural experiment

A

iv is not brought about by researcher
would have happened even if researcher had not been there

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17
Q

strengths of natural experiment

A

high external validity-dealign with life issues

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18
Q

dis of natural experiments

A

natural occuring events-may be rare this means experiments are not liekly replicable hence hard to generalise findings

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19
Q

opportunity sampling

A

participants happen to be available at time study being carried out so recruited conveniently
anyone wanting to and willing to participate

20
Q

strengths of opportunity sampling

A

easy way of recuriment so time saving and less costly

21
Q

limitations of opportunity sampling

A

not representative of whole population hence lacks generalisability
researcher bias-they control who they want to select

22
Q

random sampling

A

when every member of population has equal chance of being selected
e.g. pulling names out of a hat

23
Q

adv of random sampling

A

no researcher bias-researcher has no influence of who is picked

24
Q

dis of random sampiling

A

time consuming-need to have list of memebers of population and contact them takes time

volunteer bias-partipants can refuse to take part so can end up with unrepresentative sample

25
systematic sampling
system where every nth member is selected e.g have target population and must pick every 4th or 3rd member
26
strength of systamatic sampiling
avoids research bias-researcher has no influence on results fairly representative of population
27
dis of systamatic smapiling
not truly unbiased
28
stratified sampiling
29
descriptive statistics
mean median range mode
30
inferential statistics
stats tests sign test Whitney rhode
31
all types of observation
covert and obert
32
event sampliling
tallying when it happens
33
time sampliling
contains intervals e.g every 5 mins ill check
34
test-re-rest relaibility
whether test results are consistent over time
35
inter rater reliability
2 pschyristas assess patient sepertaely and get same disgnonis
36
stats tests
correlation of difference (experiment) level of data (nominal, ordinal, interval) related or unrelated (independent or repeated measures)
37
levels of data types
nominal ordinal interval
38
nominal
categories yes or no
39
ordinal
stuff you can rank/order go with this if your unsure
40
interval
measure height, weight e.g. ruler
41
quantitive data
data using numbers
42
sign test
43
reliability
consistency can be internal-inside experiment e.g split half no extraneous variables external-outside of experiment e,g test retest and inter rater reliability tmeproal, popultaion, ecological
44
extrnaous variables
identfied before experiment
45
comfounding varaibles
identfied after experiment
46
lab experiment