Data Flashcards

1
Q

Correlation

A

A mathematical technique used to investigate the relationship between two variables, called co - variables

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2
Q

Types of correlation

A

• a positive correlation
• a negative correlation
• a zero correlation

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3
Q

A positive correlation

A

When one co - variables increases as another increases or vice versa

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4
Q

A negative correlation

A

When on co - variable increases, the other decreases or vice versa

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5
Q

A zero correlation

A

When there is no relationship between the two co - variables

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6
Q

Strength of correlation

A

A good starting point for research

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7
Q

Weakness of correlation

A

Even though it shows how the variables are related, it doesn’t show how the variables are related

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8
Q

Types of data

A

• primary data
• qualitative data
• quantitative data
• secondary data

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9
Q

Primary data

A

Information that has been obtained first hand by the researcher for the purpose of a research project

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10
Q

Strength of primary data

A

It suits the aim of the research

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11
Q

Weakness of primary data

A

It takes more time and effort to collect

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12
Q

Qualitative data

A

Information that is expressed in words and not numbers

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13
Q

Strength of qualitative data

A

It has more depth and detail then quantitative data

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14
Q

Weakness of qualitative data

A

More difficult to analyse

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15
Q

Quantitive data

A

Information that can be counted usually in the form of numbers

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16
Q

Strength of quantitative data

A

It can be easily analysed

17
Q

Weakness of quantitative data

A

Lacks the depth and detail of qualitative data

18
Q

Secondary data

A

Information that has been gathered by someone other than the researcher before the current investigation

19
Q

Strength of secondary data

A

It is easy to access

20
Q

Weakness of secondary data

A

The study of studies may not quite fit what the researcher wants

21
Q

Descriptive statistics

A

The use of graphs, tables and summary statistics

22
Q

Range

A

A simple measure of the dispersion in a set of data

23
Q

Strength of range

A

Very straight forward to calculate

24
Q

Weakness of range

A

Can be distorted by an extreme score

25
Ways to represent the average
• mean • average • mode
26
Mean
The mathematical average
27
Strength of mean
The only average that includes all the scores in the final calculation
28
Weakness of mean
Can be easily distorted by an extreme score
29
Median
The middle value of a set of data when they have been put in order from lowest to highest
30
Strength of median
It is not effected by the extreme scores
31
Weakness of median
Less sensitive than the mean
32
Mode
The most common value
33
Strength of mode
Very easy to calculate
34
Weakness of mode
Can be quite unrepresentative of the set of scores overall
35
Frequency bar
A ‘table’ is a systematic way of representing data
36
Normal distribution
A systematic spread of frequency data the forms a bell - shaped curve