data analysis : kinds of data Flashcards

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1
Q

define qualitative data

A

data that is expressed in words and non-numerical

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2
Q

what may qualitative data be converted into and why ?

A

into numerical data for analysis

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3
Q

define quantitative data

A

data that can be counted, usually given as numbers

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4
Q

define primary data

A

information that has been obtained first hand by the researcher for the purpose of a research project

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5
Q

in psychology where would primary data typically be gathered ?

A

directly from the participants as part of an experiments , (self-report or observation)

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6
Q

define secondary data

A

information that has been collected by someone else and so predates the current research project

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7
Q

in psychology what would secondary data include ?

A

the work of other psychologists or government statistics

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8
Q

define meta-analysis

A

a research method where the results of many studies on the same topic are combined and analyzed together

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9
Q

why is meta-analysis used ?

A

this helps researchers get a clearer overall picture of the findings by looking at a large amount of data

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10
Q

give an example of meta-analysis

A

if many studies have looked at the effectiveness of therapy for depression, a meta-analysis would combine their results to find out how effective therapy is overall

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11
Q

what may qualitative data take the form of ?

A

written description of the thoughts,feelings and opinions of participants

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12
Q

give an examples of qualiative data

A
  • a transcript from an interview
  • an extract from a diary
  • notes recorded within a counselling session
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13
Q

where might one collect qualitative data ?

A

from interviews or unstructured observation

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14
Q

what do quantitative data collection techniques usually gather?

A

numerical data in the form of individual scores from participants

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15
Q

give an example of quantitative data collection techniques ?

A
  • number of words a person was able to recall in a memory experiment
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16
Q

what is quantitative data open to do ?

A

being analysed statistically

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17
Q

what can quantitative data be converted into ?

A

graphs,charts etc..

18
Q

what is the significant overlap between quantitative data and qualitative data ?

A

researchers collecting quantitative data as part of an experiment may often interview participants as a way of gaining more qualitative insight into their experience of the investigation

19
Q

what is the number of ways of doing ?

A

qualitative information can be converted into numerical data

20
Q

what is secondary data often referred as ?

A

desk research

21
Q

what does statisitical data mean?

A

to information that is collected, measured, and analyzed using numbers

22
Q

an example of statistical data

A

if you surveyed 100 people about how many hours they sleep each night, the numbers you collect (e.g., 7 hours, 8 hours, etc.) are statistical data.

23
Q

give a strength of meta-analysis ?

A

view data with much more confidence and results can be generalised across much larger populations

24
Q

a limitation of meta-analysis (3) (PPB)

A
  • prone publication bias sometimes referred to as file-drawer problem
    –> researchers may not select all the relevant studies - may leave out those studies with negative and non-significant results
    –> therefore the data will be biased because it only represents some of the relevant data and incorrect conclusions are drawin
25
Q

what does qualitative data offer the researcher much more of than quantitative data ?

A
  • richness of detail
    –> broader in scope –>gives the respondent more license to develop thoughts , feelings and opinions of a given subject
26
Q

what does qualitative data tend to have greater than quantitative data ?

A

external validity
–> provides the researcher with more meaningful insight into the participant’s worldview

27
Q

what is it difficult to do with qualitative data and why ?

A

analyse
–> it tends not to lend itself to being summarised statistically
–> so patterns and comparisons within and between data may be hard to identify

28
Q

what do conclusions often rely on in qualitative data and what is the problem with that ?

A
  • subjective interpretations of the researcher
    –> subject to bias
    –> especially if the researcher has preconceptions about what he/she is expecting to find
29
Q

what is strength of quantitative data and this means that ?…

A

relatively simple to analyse
–> therefore comparisons between groups can be easily drawn

30
Q

what does numerical form tend to be therefore ..?

A
  • more objective
    –> less open to bias
31
Q

what is quantitative data much (?) than qualitative data which means ..?

A

-narrower in scope and meaning than qualitative data
–> thus may fail to represent ‘real-life’

32
Q

what is primary data sometimes called ?

A

‘field research’

33
Q

what is the main strength of primary data ?

A

it fits the job
- authentic data obtained from the participants themselves
–> for the purpose of a particular investigation

34
Q

what can be designed in a specific way to receive specific information from participants and how ?

A

questionnaires and interviews
–> can be designed in a way that they specifically target the information that the researcher requires

35
Q

what does it require in order to produce primary data ?

A

time and effort on the part of the researcher

36
Q

what is an example of the limitation above ?

A

requires considerable planning , preparation and resources

37
Q

how is secondary data better than primary data in terms of (time and effort) ?

A

SD - can be accessed within a matter or minutes

38
Q

compared to primary data , secondary data is … ?

A

may be inexpensive and easily accessed requiring minimal effort

39
Q

when the researcher is examining secondary data ..?

A

they may find the desired information already exists and so there is no need to conduct primary data collection

40
Q

what is the limitation of secondary data ?

A
  • there may be substantial variation in the quality and accuracy of secondary data
    –> information might at first appear to be valuable and promising but on further investigation may be outdated or incomplete
41
Q

what may the content of secondary data do for the researcher’s needs ?

A

quite match