Levels of measurement

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4 Terms

1
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Why do we use levels of measurement?

To present, analyse and interpret quantitative data

2
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What is nominal data?

When data forms discrete categories (eg- hair colours, can only be sorted in categories: brown, black, blonde)

3
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What is ordinal data?

Data in which numbers are rankings rather than scores themselves (eg- ranking of attractiveness of a scale of 1-5). Can be put into order, but the difference between scores is not standardised

4
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What is interval / ratio data?

Where an individual score for each participant is gathered and the score can be identified using a recognised scale with equal distances between scores (eg- length of hair in cm)