research methods - nem2 Flashcards

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1
Q

what is a case study?

A

an in-depth investigation of a single individual, group or institution

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2
Q

what is a longitudinal study?

A

studies that take place over a long period of time

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3
Q

is a case study an experimental method?

A

no, case studies can use experimental or non-experimental methods to collect data

(eg: interview, questionnaire, memory test)

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4
Q

when are case studies used?

A

where there is a rare behaviour being investigated

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5
Q

what does a case study allow?

A

-it allows data to be collected and analysed on something that psychologists have very little understanding of
-it can be the starting point for further, more in-depth research

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6
Q

strengths of case studies:

A

-it offers the opportunity to unveil rich,
detailed information about a situation

-can be used in circumstances which would not be ethical to examine experimentall

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7
Q

criticisms of case studies:

A

-there are methodological issues associated with the use of case studies
↳ by only studying one individual, an isolated event or a small group of people it is very difficult to generalise any findings to the wider population
↳ this creates issues with external validity as psychologists are unable to conclude with confidence that anyone beyond the ‘case’ will behave in the same way under similar circumstances, thus lowering population validity

-in case studies, particularly where qualitative methods are used, the
researcher’s own subjectivity may pose a problem
↳ eg: in the little hans case study, freud developed an entire theory based around what he observed
↳ there was no scientific or experimental evidence to support his suggestions from his case study, we can’t be sure that he objectively reported his findings
↳ research bias and subjectivity can interfere with the validity of the findings/conclusions

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8
Q

Patient X is a gynotikolobomassophobic - he has a morbid fear of women’s ear lobes. His fear is so extreme that Patient X finds it impossible to talk to women in social situations (unless their ears are covered) and spends much of his time alone in his home.

A psychologist carrying out a case study of Patient X has conducted detailed interviews with him about his childhood. Patient X has also been encouraged to keep a diary as a record of his everyday experiences. The psychologist has concluded that Patient X’s phobia may have been the result of childhood trauma.

A

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9
Q

What are the main features of a case study? Refer to Patient X as part of your answer.

A

Case studies look at the individual in detail, in this case Patient X.

They can delve into Patient X’s past to see when he may have developed this fear through interviews with him and his family and by using medical records as well as diary entries.

Patient X could be looked at over a period of time to see if there are any changes in his behaviour.

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10
Q

what ethical issues are associated with the case study approach?

A

there are ethical issues such as confidentiality. many cases are easily identifiable even if real names are not given because of their unique characteristics.

it is important to retain anonymity because the subject of the case study may feel embarrassed if people can identify him or he might be treated badly by people who read about his case. this might lead to psychological harm.

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11
Q

what is a content analysis?

A

a type of observational technique which involves studying people indirectly, through qualitative data

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12
Q

what qualitative data can be used during a content analysis?

A

qualitative data in a range of formats:
-video or audio recordings (or the interview transcripts)
-written responses (such as those provided to an open question in a questionnaire)
-children’s drawing

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13
Q

what’s important for a content analysis?

A

-researchers must have theory research questions formulated, so that they know exactly what their content analysis will focus on

-researchers should familiarise themselves with the data before conducting any
analysis, so that they are confident that their coding system is appropriate

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14
Q

what is coding in a content analysis?

A

-the researcher develops categories for the data to be classified and then counts the number of responses in each category

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15
Q

benefits of coding:

A

-coding can be helpful in reaching succinct conclusions about the data
-categories provide a framework to convert the qualitative material into quantitative
data, which can then be used for further (statistical) analysis

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16
Q

strengths of content analysis:

A

-helps to classify responses in a way that is systematic → clear conclusions can be drawn

-helpful when conducting research that would otherwise be considered unethical
↳ any data that has already been released into the public domain is available for analysis, meaning that consent is not
required

-for material that is of a sensitive nature, a
content analysis can also be useful as ppts can write a report of their experience which can then be used in analysis
↳ high quality data to be collected even in difficult circumstances

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17
Q

criticisms of content analysis:

A

-content analysis’s can produce findings that are very subjective
↳ the researcher may interpret some things said in an interview in a completely
different manner from how they were intended, due to their own preconceptions,
judgements or biases

-cultural differences may contribute to inconsistent interpretation of behaviour coding since language may be translated and therefore interpreted differently by someone of a different nationality
↳ the validity of findings from a content analysis can be questioned since it may not have been measuring what it intended to with accuracy

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18
Q

what is a thematic analysis?

A

a technique that helps identify themes throughout qualitative data

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19
Q

what is a theme?

A

an idea or a notion:
-it can be explicit (such as stating that you feel depressed)
-or implicit (for example, using the metaphor of a black cloud for feeling
depressed)

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20
Q

what do themes identify?

A

recurrent ideas

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21
Q

why are themes better than codes?

A

they are more descriptive than coding units

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22
Q

what does a thematic analysis produce?

A

qualitative data

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23
Q

strengths of both content and thematic analyses:

A

high ecological validity
↳ much of the analysis that takes place within these research methods are basing their conclusions on observations of real‐life behaviour and written and visual communications
↳ eg: analysis can take place on books/programmes, since records of these qualitative sources remain, replication of the content/thematic analysis can be conducted
↳re‐analyses can be used to test validity

24
Q

strengths of thematic analyses:

A

-fewer ethical issues as most of the subject
matter is already in the public domain

-ecological validity, more reflective of real life → rich in detail and may offer insight into human behaviour

25
Q

criticisms of thematic analyses:

A

-could be subjective and open to interpretation
-it is difficult to assess reliability of data
-they can be difficult, and require expert knowledge in that field to identify themes

26
Q

how to assess the reliability of a content analysis?

A

-correlate the tally of each coding category from 2 researchers (using spearman’s statistics test)
-there must be a correlation of +0.80 between the scores of two observers to show high inter-rater reliability

test-retest reliability could have been assessed
↳ repeat the content analysis tallying on
two separate occasions
↳ the psychologist would then compare the two tally charts and calculate the correlation between the two (a correlation of 0.8 is considered to indicate good test-retest reliability)

27
Q

A researcher was interested to know whether there is a gender difference in driving behaviour and decided to conduct a content analysis of film clips of male and female drivers.

Explain how the researcher might have carried out content analysis to analyse the film clips of driver behaviour.

A

-the psychologist would have begun by watching the film clips of men and women driving

-this would enable the psychologist to ‘code’ the data - identify categories that emerged from the data of the different types of driving behaviour of the two genders in the film

-such categories might include distractions (e.g: talking, gadget distractions)

-the psychologists would then have watched the films again and counted the number of examples which fell into each category to provide quantitative data. they would do this separately for the men and the women.

-they could then compare differences between men and women

28
Q

A study by Nicholas Matthews et al. (2012) involved the analysis of 1,200 instances of graffiti gathered from toilet walls in US bars. Graffiti was coded according to a number of distinct categories: sexual references, socio-political (religion, politics, race, etc.), entertainment (music, TV), physical presence (the writing of one’s name for instance), love/romance and scatological (for example, reference to defecation). Graffiti was also classified in terms of whether it was interactive (a response to other graffiti) or independent (a stand-alone comment).

Matthews et al. found that males composed significantly more sexual and physical presence graffiti, whilst females authored more romantic and interactive graffiti.

Explain how this investigation illustrates some of the strengths and limitations of content analysis.

A

-content analysis is useful in that it can ‘get around’ many of the ethical issues normally associated with psychological research
↳ the material, the graffiti on the toilet walls, already exists within the public domain, there are no issues with obtaining permission from the person who did the graffiti
↳ the psychologist is categorising the type of graffiti, so the data produced would be quantitative → able to be analysed statistically
↳ people tend to be studied indirectly as part of content analysis so the communication they produce is usually analysed outside of the context within which it occurred, there is a danger that the researcher may attribute opinions and motivations to the graffiti writer that were not intended originally

29
Q

Content analysis, like any observational research, involves design decisions about the following:

•sampling method - how material should be sampled
•recording data - should data be transcribed or recorded, should data be collected by an individual researcher or within a team?
•analysing and representing data - how should material be categorised or coded in order to summarise it?

Explain how, in designing their study of latrinalia, Matthews et al. might have addressed each of the design decisions outlined above.

A

sampling method:
-event sampling was used as they counted the number of times a certain type of graffiti was written/occurred

recording data:
the data was transcribed and recorded by a team of researchers who looked at 1200 instances of graffiti in toilets

analysing and representing data:
-material was coded into different categories, operationalised so they were easy to interpret
-the researchers counted the number of times different categories of graffiti were exhibited

30
Q

what do experiments look for?

A

a difference between two conditions of
an IV

31
Q

what is a correlation?

A

a mathematical technique used to analyse the strength and direction of a relationship between two co-variables

32
Q

what are co-variables?

A

the variables in a correlational study

33
Q

what is the difference between correlations and experiments?

A

-correlations are carried out like an experiment but they have co-variables, not two conditions of an IV

-this is because both variables in a correlation vary (change) and are measured, but neither one is set or controlled by the researcher

-this means there is usually less control over other variables that can influence the findings

(experiments are about difference and correlations are about relationships)

34
Q

why are correlations used?

A

-predictions
-validity
-reliability

35
Q

why are correlations used: predictions

A

if there is a relationship between two variables, we can make predictions about one from another

36
Q

why are correlations used: validity

A

concurrent validity (correlation between a new measure and an established measure)

37
Q

why are correlations used: reliability

A

-test-retest reliability (are measures consistent)

-inter-rater reliability (are observers consistent)

38
Q

methods of finding correlations:

A

-scattergrams
-correlation coefficients

39
Q

positive correlation

A

as the value of one covariable increases, so
does the value of the second covariable.

40
Q

negative correlation

A

as the value of one covariable increases, the value of the second covariable decreases

41
Q

what are scattergrams?

A

a form of graph used to display the direction and relationship between two covariables
(used for plotting correlational data)

42
Q

layout of a scattergram:

A

1) the measurement of one co-variable goes on one axis and the measurement of the second co-variable goes on the other axis (it doesn’t matter which variable goes on the x-axis and which goes on the y-axis)

2) put a cross at the point where the 2 values coincide

3) the gradient of the line is the same as the correlation coefficient

43
Q

what are the two statistical tests of correlation? (correlation coefficients)

A

spearman’s and pearson’s

44
Q

what happens when correlation tests are calculated?

A

they produce a correlation coefficient (r), a
numerical value between +1 and -1

45
Q

what does a correlation coefficient tell us?

A

the strength and direction of a relationship between 2 variable:

-coefficients with a minus in front of them highlight a negative correlation
-coefficients which are positive indicate a positive correlation
-a correlation coefficient of zero would indicate no relationship between the two co-variables

46
Q

terms to describe a correlation:

A

-strong (or very strong)
-weak (or very weak)
-positive
-negative

47
Q

what sort of relationship is suggested by the following coefficient?

-0.40

A

weak negative correlation

48
Q

what sort of relationship is suggested by the following coefficient?

+0.90

A

very strong positive correlation

49
Q

what sort of relationship is suggested by the following coefficient?

+0.13

A

very weak positive correlation

50
Q

what sort of relationship is suggested by the following coefficient?

-0.76

A

strong negative correlation

51
Q

how is a hypothesis for a correlation written?

A

states that there is a relationship between to variables

(eg: there is a relationship between hours spent revising and grades scored on tests)

52
Q

how is a directional hypothesis for a correlation written?

A

states that there will be a relationship between variables and highlights the direction

(there will be a positive correlation between the hours spent revising and grades scored on tests)

53
Q

strengths of correlations:

A

-correlations measure the strength and direction of a relationship → relationships can be quantified

-there is no manipulation of the variables so they are useful when manipulation is practically or ethically impossible

-correlations are very useful as a preliminary research technique, allowing researchers to identify a link that can
be further investigated through more controlled research

54
Q

criticisms of correlation:

A

correlations can’t establish cause/effect
↳ correlations only identify a relationship between variables; they do not identify which variable causes which
↳ there might be a third variable which is influencing one of the co-variables,

correlations are not performed under controlled conditions
↳ there could be other extraneous variables affecting the outcome

55
Q

differences between experiments and correlations:

A

-experiments can establish cause and effect but correlations cannot
-experiments look for differences, correlations look for relationships

56
Q

experiments can establish cause and effect but correlations cannot: elaborated

A

-in an experiment. the experimenter has lots of control → they control all variables constant and systematically manipulate one
↳ the experimenter can be confident that any changes in the DV are caused by the IV and not any other confounding variable

however, in correlations the researcher doesn’t control any extraneous variables
↳ a third unknown variable could be causing the results, so correlations cannot establish cause and effect

57
Q

experiments look for differences, correlations look for relationships: elaboration

A

in an experiment you compare the results in one condition with the results in a different condition
↳ you aim to see if there’s a difference between the two conditions

in a correlation you aim to see if an increase/decrease in one variable is linked/associated with an increase/decrease in
another variable
↳ you aim to see if there’s a relationship between two variables