Levels of measurement
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Last updated 5:26 PM on 9/25/25
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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)
Note 
Flashcards (96)