Correlations, Case Studies And Conent Analysis Flashcards

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1
Q

What is a correlation?

A

The relationship between two co-variables.

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2
Q

What are correlations plotted on?

A

A scattergram

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3
Q

How many stats test are there for correlations?

A

2

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4
Q

What is the value between for correlation coefficients?

A

Between -1 and +1

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5
Q

What does the value of correlation coefficients tell us?

A

The strength between two variables

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6
Q

What does 1 mean?
And what does -1 mean?

A

1 = a strong positive
-1 =. A strong negative

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7
Q

What does a case study analyse?

A

Unusual individuals/ groups or events or focus on typical cases

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8
Q

What type of data do case studied usually produce?

A

Qualitative data

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9
Q

What is constructed during case studies?

A

Case history - interviews, questionnaires, observations

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10
Q

What might case studies use and what might these produce?

A

Experiments which produce quantitative data

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11
Q

What type of study is a case study usually?

A

A longitudinal study - happens over a long period of time.

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12
Q

Case study strengths:

A
  • Rich and detailed.
  • Greater insight into unusual behaviour.
  • Can give us greater insight into normal behaviour.
  • Can help generate hypotheses for future study.
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13
Q

Weaknesses of case studies:

A
  • Small sample
  • Difficult to generalise
  • Subjective
  • Personal accounts might be inaccurate
  • Evidence is low in validity
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14
Q

What type of research is a content analysis?

A

Observational research

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15
Q

How does a content analysis take place?

A

It studies people indirectly through communications they’ve produced e.g. spoken interaction, written communication or media

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16
Q

What does a content analysis aim to do?

A

Summarise and describe communication in a systematic way which allows conclusions to be darwn

17
Q

Why do we use coding?

A

Data sets can be very big and so the information needs to be categorised into meaningful units which produces quantitive data.

18
Q

What can a thematic analysis involve producing?

A

Qualitative data

19
Q

What is a theme?

A

Any idea that reoccurs during the communication

20
Q

What is a thematic analysis likely to be?

A

More descriptive than coding units which means they can be developed into broader categories.

21
Q

Once themes have been identified what can be produced?

A

A new set of data which can test the validity of the themes and categories which the researcher can then write a report on unsung quotes from data to illustrate themes.

22
Q

What are the strengths of thematic analysis?

A
  • Can avoid ethical issues associated with many types of research.
  • Much of what will be studied might be in the public domain.
  • Usually high in external validity especially private communication.
  • Can produce quantitative and qualitative data.
23
Q

Weaknesses of Thematic analysis:

A
  • People tend to be indirectly studied - usually out of context.
  • Researcher may attribute opinions and attitudes the speaker/ writer which were not originally intended - subjective.
  • Suffer from problems with objectivity.