A2 Research Methods Flashcards

1
Q

what is content analysis used for

A

turning qualitative data into quantitive data

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2
Q

how does content analysis work

A

familiarise yourself with material

pick out common themes

turn these into coding categories

work through source material

tally every time something fits into a category

look over quantitive data and come to conclusions

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3
Q

what is Cumberbatch and Gauntlett’s experiment of content analysis

A

wanted to see how often smoking, alcohol and drug abuse featured in Tv shows watched by 10-15 year olds and how they were handled

programmes between August and October 2004 were sampled with 256 programmes over all- 70% were soap operas, all broadcast before 9 pm

alcohol related scenes- 12.0 instances per hour

smoking related scenes- 3.4 per hour

drug related scenes- 1.7 per hour

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4
Q

what is thematic analysis

A

type of content analysis

summarises qualitative data

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5
Q

how is thematic analysis done

A

collecting data, then transcribing it

researcher reads it several times to familiarise themselves with it

researcher looks for recurring themes and patterns

provides examples to illustrate themes, writes a report

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6
Q

what are the strengths of content analysis

A

many fo the things studied are already in the public domain (TV, adverts etc) so no issues with obtaining data and permission

content analysis provides qua native data so statistical testing can be carried out

thematic analysis obtains rich qualitative data

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7
Q

what are the limitations of content analysis

A

studied indirectly so things can be taken out of context (low external validity)

choice of categories and themes etc established by researcher brining subjectivity into research

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8
Q

what is reliability

A

a measure of consistency

if we can repeat and experiment and get similar results every time

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9
Q

how do you asses reliability

A

test-retest

inter-observer reliability

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10
Q

what is test retest

A

testing the same participants on two separate occasions to see of the results are the same

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11
Q

what is inter-observer reliability

A

get at least two people to carry out research and then correlate their data. do a pilot study first to make sure both are using categories in the same way

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12
Q

how do you improve reliability in questionnaires

A

no ambiguous questions

no jargon

no double negatives

closed questions

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13
Q

how do you improve reliability in interviews

A

use same interviewer, no leading questions, use structured interview

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14
Q

how do you improve reliability in observations

A

clear categories, categories used in the same way

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15
Q

how do you improve reliability in experiments

A

standardised procedures

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16
Q

what is validity

A

the extent to which an observed effect is genuine- does it measure what it was meant to measure (internal) and can it be generalised beyond the setting it was found in (external)

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17
Q

what is face validity

A

when a measure is scrutinised to determine weather it appears to measure what it is supposed to measure

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18
Q

what is concurrent validity

A

the extent to which a psychological measure relates to an existing measure

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19
Q

what is ecological validity

A

a form of external validity

the extent to which results can be generalised to other settings and situations

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20
Q

what is temporal validity

A

a form of external validity

the extent to which results can be generalised to other historical times and eras

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21
Q

how do you asses validity

A

look for face validity

look for concurrent validity

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22
Q

how do you look at face validity

A

ask participants and experts

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23
Q

how do you look at concurrent validity

A

compare test to well established test (eg Stanford-Binet IQ test)

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24
Q

how do you improve validity in experiments

A

use control group

standardised procedures

single or double blind procedures

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25
how do you improve validity in questionnaires
assuring anonymity (reduces social desirability)
26
how do you improve validity in observations
covert precise categories
27
how do you improve validity in qualitative research
using many sources to gain data (triangulation)
28
what are the 5 features of science
paradigms and paradigm shifts replicability objectivity/ the empirical method theory construction/ hypothesis testing falsifiability
29
what is a paradigm
when science has a shared set of assumptions (theory of evolution etc)
30
what did Kuhn suggest about psychology
it lacks a universally accepted paradigm and is best seen as a 'pre-science'
31
what is a paradigm shift
in order for an established science to evolve there will be a revolution where a handful of researchers begin to question an accepted paradigm
32
what else does Kuhn argue about psychology
it has not undergone any paradigm shifts
33
what is a theory
a set of general laws or principles that have the ability to explain particular events or behaviours
34
how do you construct a theory
through gathering evidence via direct observation to test a theory we must use empirical method
35
how many hypothesis should a theory have
multiple- null, directional, non-directional
36
what steps are taken to test a hypothesis
formulate question construct hypothesis research and observations test and experiment analyse results and conclude
37
what is falsifiability
the belief that scientific theories should be able to have their hypothesis tested -and therefore be possibly proven false
38
who came up with falsification and what did he call sciences which were not falsifiable
Karl Popper pseudosciences
39
what is replicability
when results can be replicated over different contexts and circumstances
40
if a science has good replicability what are the results
generalisable
41
what is objectivity
not allowing personal options or biases to alter data
42
what studies are the most objective
lab studies
43
what is the empirical method
when a scientific approach collects evidence through direct observation and experience
44
what did John Locke say
knowledge can only come from experience. theory cannot claim to be scientific unless it has been empirically tested and verified
45
what is a type I error
the we assume that our findings show something but they don't
46
what are examples of type I errors
rejecting a null that is true wrongly accepting the alternate hypothesis when we think the results are due to the IV but they are actually due to chance
47
what makes a type I error likely
if the level of significance is too lenient (10%)- as this mean sit is more likely results are due to chance
48
what is a type II error
Accepting a null hypothesis that should be rejected
49
what are examples of a type II error
accepting a null hypothesis that is false wrongly rejecting the alternate hypothesis assuming results are due to chance when they are really due to the IV
50
what makes a type II error likely
if the level of significance is too stringent (1%) enables us to be absolutely sure but we may miss something stringent p value used for drug testing
51
what is nominal data
data in the form of categories data is discrete
52
what is ordinal data
data is ordered but intervals between each unit don't have to be the same scale of 1-10 is an example ranking first second third fourth etc another example
53
what is interval data
numerical scores that are standardised measures gaps between each unit are the same for everyone
54
what are the sections of a scientific report
Abstract Introduction Method Results Discussion Referencing
55
what does the abstract include
all the major elements- aim, method, results and conclusions
56
what does the introduction include
aims and hypothesis
57
what does the method include
design sample apparatus etc
58
what does the results include
results in statistical form
59
what does the discussion include
results in verbal form
60
what is the referencing
references any materials journal used