Quantitative and Qualitative Data Flashcards

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1
Q

How is quantitative data expressed?

A

Numerically and statistically

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2
Q

How is quantitative data analysed?

A

Analysed using statistics and measures of central tendency e.g., mean, mode, median

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3
Q

Where is quantitative data likely drawn from?

A

Controlled situations such as laboratory experiments

Closed questions

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4
Q

What does quantitative data deal with?

A

‘What’ rather than ‘why’,

E.g. no words are provided in their responses

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5
Q

How can you use quantitative data to assess whether the results are due to chance?

A

Analyse data statistically

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6
Q

Why is it a strength that quantitative data can be easily analysed?

A

Results can be represented in graphs and charts to analyse

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7
Q

Why is it good that quantitative data uses operationalised variables?

A

Makes the study easier to repeat and we can test for reliability

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8
Q

Why is quantitative data viewed as more scientific?

A

Results can be measured objectively

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9
Q

Why is it a weakness that quantitative data lacks rich detail?

A

Results are often superficial and lack validity

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10
Q

What is a weakness of quantitative data producing narrow, unrealistic information?

A

Only discusses on small fragments of behaviour so results will be less valid

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11
Q

How can qualitative data be expressed?

A

In detailed descriptions/words/images

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12
Q

What type of question does qualitative data use?

A

Open questions where participants can give answers in their own words with no formal measure

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13
Q

Where can qualitative data come from?

A

Case studies and real-world settings (blogs, magazine articles)

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14
Q

What does qualitative data deal with?

A

‘Why’ rather than ‘what’

E.g. participants give their opinions

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15
Q

How can qualitative data be analysed?

A

Using methods such as thematic analysis

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16
Q

Why is it good that qualitative data is rich in detail?

A

Results will be more valid

17
Q

Why is it good that qualitative data can be analysed in more depth?

A

More specific themes can be drawn for the data increasing validity

18
Q

Why is it good that qualitative data can be turned into quantitative data?

A

Results can then be analysed statistically to see if results are due to chance

19
Q

Why is it a strength that qualitative data can be conducted in more natural circumstances?

A

Increases the ecological validity so results can be applied to real life situations

20
Q

Why is it good that qualitative data can delve into the reasons behind quantitative responses?

A

Results will be more valid

21
Q

Why is it a weakness that qualitative data can be difficult to analyse?

A

Results may be subject to interpretation bias

22
Q

Why might there be a reduction in generalisability of findings for qualitative data?

A

Difficult to compare groups of people

23
Q

Why is it a weakness that qualitative data is not standardised?

A

Lack of control so can not test for reliability, and is often considered less scientific and more subjective in comparison to quantitative data