Levels of measurement (Data)
The different kinds of data that participants produce (Refers to PPS actual scores)
Nominal - Data in categories (nominal scale/data). E.g tall, short, medium can be put into three
categories.
Frequency count: Each category has a count of the number in that category.
Ordinal - The data is ordered in some way (ordinal scale/data). E.g rate how much you like
Psychology on a scale of 1-10
Interval - The data produced will be an actual amount and has a true zero. It is measured using
units of equal intervals or a scale e.g., using time, distance, temperature.
Ratio - has a true zero point.
What averages should you use with the different types of data?
Measure of
Measure of
DATA Central
Dispersion
Tendency
Nominal Mode Range
Ordinal Median Range
Standard
Interval Mean
Deviation
The different kinds of data that participants produce (Refers to PPS actual scores)
Nominal - Data in categories (nominal scale/data). E.g tall, short, medium can be put into three
categories.
Frequency count: Each category has a count of the number in that category.
Ordinal - The data is ordered in some way (ordinal scale/data). E.g rate how much you like
Psychology on a scale of 1-10
Interval - The data produced will be an actual amount and has a true zero. It is measured using
units of equal intervals or a scale e.g., using time, distance, temperature.
Ratio - has a true zero point.
What averages should you use with the different types of data?
Measure of
Measure of
DATA Central
Dispersion
Tendency
Nominal Mode Range
Ordinal Median Range
Standard
Interval Mean
Deviation