Learn about nominal, ordinal, interval and ratio data, also known as the four levels of measurement in statistics. We explain these levels of data in simple terms, starting from the basics of categorical and numerical data types.
Overview: Nominal, Ordinal, Interval & Ratio-Level Data
00:00 Introduction & overview
00:48 The basics: categorical and numerical data
01:06 Examples of categorical data
01:35 Examples of numerical data
02:19 Why do the levels of measurement matter?
03:01 Level 1: Nominal data
03:12 Examples of nominal data
04:30 Level 2: Ordinal data
04:45 Examples of ordinal data
05:39 Level 3: Interval data
06:05 Examples of interval data
07:34 Level 4: Ratio data
07:59 Examples of ratio data
09:03 Recap and summary
10:11 Outro
Recommended Resources:
Levels of measurement 101 (blog post) - [ Ссылка ]
Quantitative data analysis 101 - [ Ссылка ]
The 5 biggest quant analysis mistakes - [ Ссылка ]
How to write the results chapter for a quant study - [ Ссылка ]
To learn more about nominal, ordinal, interval and ratio data, the four levels of measurement, check out the Grad Coach blog at [ Ссылка ]
For 1-on-1 help with your statistical analysis or any other aspect of your research project, check out Grad Coach’s private coaching service at [ Ссылка ].
