Data Flashcards

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1
Q

What are the 4 types of data?

A

Quantitative
Qualitative
Primary
Secondary

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2
Q

What is quantitative data

A

Data in form of NUMBERS

%, qu’s

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3
Q

What is qualitative data

A

Data in form of WORDS

Language/ detail

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4
Q

What is primary data

A

Collects data themselves

Observation, experiment, self-report

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5
Q

What is secondary data

A

Data collected by someone else

E.g. Crime statistics for outer city

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6
Q

What are the strengths of qualitative data

A

Depth, detail & insight
More holistic- understanding of human behaviour
New info with open questions

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7
Q

What are the strengths of quantitative data

A

cause& effect
Make comparisons see patterns and trends
Easy to test and repeat

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8
Q

What are the strengths of primary data

A

Data should fit needs of experiment for purpose of study

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9
Q

What is a strength of secondary data

A

Saves time and money

Less biased

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10
Q

What are the weaknesses of quantitative data

A

Distort the truth
Reductionist
No context given
Biased

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11
Q

What are the weaknesses of qualitative data

A

Hard to analyse
Difficult to make comparison
Hard to replicate
Open to interpretation

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12
Q

What are the weaknesses of primary data

A

Takes time
Cost more for researcher
Biased

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13
Q

What are the weaknesses of secondary data

A

Data may not be appropriate or fit needs

Could be misunderstood

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14
Q

What are the 3 levels of data

A

Interval
Ordinal
Nominal

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15
Q

What is the definition of interval data

A

Data that uses a standardised scale (units- histogram/bar chart)

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16
Q

What is the definition of ordinal data

A

Any data that is put into order (bar chart)

17
Q

What is the definition of nominal data

A

Categories of behaviour (bar/pie chart)

18
Q

Give an example of interval data

A

Measuring height in cm
Temperature
Score on test

19
Q

Give an example of ordinal data

A

Height: tall-short
Rating scale
Position in a race

20
Q

Give an example of nominal data

A

Organising into height groups
Yes/no
Eye colour
Male/female

21
Q

Evaluate the interval data

A

Most powerful

Most informative, real numbers

22
Q

Evaluate ordinal data

A

Powerful

Frequency and order

23
Q

Evaluate nominal data

A

Most basic

Don’t find out much apart from frequency