Qualitative And Quantitative Flashcards

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0
Q

What is quantitative data?

A

Numerical data, quantity based on numbers and statistical analysis

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1
Q

What is qualitative data?

A

Data that gives you a valid picture if what is really happening, mainly based on non statistical data and normally requires long answers

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2
Q

What are the 3 main methods of obtaining qualitative data?

A

Unstructured observations
Unstructured interviews
Structured observations

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3
Q

What level of external validity does qualitative date have?

A

High

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4
Q

What level of internal validity does qualitative date have?

A

Low

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5
Q

What level of reliability does qualitative data have?

A

Low

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6
Q

Why does qualitative data have high external validity?

A

Because it’s true to real life

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7
Q

Why does qualitative data have low internal validity?

A

Because observers could miss things

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8
Q

Why does qualitative data have low reliability?

A

It’s hard to replicate

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9
Q

What type of data does central tendency and standard deviation deal with?

A

Quantitative data

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10
Q

What do measures of central tendency inform us about?

A

The middles values of a set of data-averages

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11
Q

What are 3 ways averages can be worked out?

A

Mode

Mean

Medium

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12
Q

If you were asked to calculate the central tendency, what would it mean?

A

Mode

Mean

Medium

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13
Q

How is the mean calculated?

A

By adding up all the numbers and dividing by how many numbers their are

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14
Q

How can the medium be worked out?

A

The middle value in the ordered list

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15
Q

How do you work out the mode?

A

The most common number

16
Q

What is an advantage of working out the mean?

A

It makes use of all the values

17
Q

What is a disadvantage of using the mean?

A

Can be misrepresentative if their are extreme values

18
Q

What is an advantage of working out the medium?

A

Not affected by extreme scores

19
Q

What is a disadvantage of working out the median?

A

Not as ‘sensitive’ as the mean because not all values are reflected in the median

20
Q

What is an advantage of working out the mode

A

Useful when data is in categories

21
Q

What is a disadvantage of working out the mode?

A

When there are several modes it’s not as useful

22
Q

What is the ease measure of dispersion?

A

Range

23
Q

What is the range 0?

A

The difference between the highest and the lowest

24
Q

What is standard deviation?

A

Measure of the spread of the data around the mean

25
Q

What are 2 strength of working out the range?

A

Provides you with direct information

Easy to calculate

26
Q

What is a strength of standard deviation?

A

More precise measure of dispersion because all values are taken into account

27
Q

What is 2 limitations of the range

A

Affected by extreme values

Doesn’t take into account the number of observations in the data set

28
Q

What is a limitation of the standard deviation?

A

May hide some of the characteristics of the data set e.g. Extreme values

29
Q

When would you use a scattergram?

A

When doing correlational analysis

30
Q

What do the bars represent in a bar chart?

A

Frequency