Research Methods- Data Analysis Flashcards

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1
Q

How can quantitative data be obtained?

A

By categorising and rating behaviour

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2
Q

What might qualitative data consist of?

A

Video or audio recording, written notes, or observation reports

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3
Q

Why must there be adequate data sampling?

A

To ensure that a representative sample of participants’ behaviour has been seen

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4
Q

What kind of data is obtained with closed questions?

A

Quantitative

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5
Q

What kind of data is obtained with open questions?

A

More detailed qualitative

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6
Q

What must you remember when conducting interviews?

A
  1. Context is important
  2. Researcher should clearly distinguish between what is said and how they interpret it
  3. Selection of data
  4. Interviewer bias
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7
Q

What is the benefit to collecting quantitative data?

A

It can be easily and objectively analysed

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8
Q

How is qualitative data sometimes seen as?

A

‘Of limited use’ because it’s difficult to analyse objectively

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9
Q

What does thematic analysis involve?

A

Making summaries of data and identifying key themes and categories

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10
Q

What is the process of thematic analysis?

A

Researcher becomes familiar with the data —> start to look for different themes —> review the themes —> define and name the themes —> write a report

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11
Q

How can thematic analysis be subjective?

A

Different researchers may read different things into the themes

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12
Q

What are 3 strengths of thematic analysis?

A
  • Qualitative analysis preserves detail in the data
  • Creating hypotheses during analysis allows new insights to be developed
  • Some objectivity established using triangulation
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13
Q

What are 2 criticisms of thematic analysis?

A
  • Unsure which categories to use
  • Unsure what to leave out of the summary
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14
Q

What is content analysis?

A

Data is analysed into categories, reducing it to numbers

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15
Q

What is the method of content analysis?

A

Representative sample of qualitative data collected —> coding units identified to analyse the data —> qualitative data analysed —> statistical analysis carried out

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16
Q

What are 2 strengths of content analysis?

A
  • Clear summary of patterns established
  • Replication is easy
17
Q

What are 2 limitations of content analysis?

A
  • Subjective data hard to analyse
  • Reducing data removes detail
18
Q

What are 2 advantages of quantifying data?

A
  • Easier to see patterns and to summarise and present it
  • Statistical analysis can be carried out
19
Q

What are 2 disadvantages of quantifying data?

A
  • Care needed to avoid bias
  • Numerical data loses detail
20
Q

What is primary data?

A

Information collected during a researcher’s direct observations

21
Q

What is secondary data?

A

Information collected from other studies

22
Q

What is a meta-analysis?

A

Where you analyse the results from loads of different studies to come up with general conclusions