6.22 levels of measurement 🧡

Levels of measurement = nominal, ordinal and interval data. Each is more precise and provides more info than the previous level

Nominal = categorical data. These variables are discrete/ dont overlap and they have no natural order. E.g hair colour

Ordinal = a form of categorical data that has a natural order, but the different between each point is not consistent. E.g happiness or height rankings

Interval = precise, have equal intervals between each point. It is continuous. E.g temperature, time. Also includes ratio data (data with no zero point)

Converting between types of data - can only convert from a higher level of measurement to a lower level of measurement

• converting internal → ordinal. Start with interval scores from a standardised test. Then allocate scores to a ranking

• Converting ordinal → nominal. Create separate categories and allocate the highest-ranking to one and the other half to the other