Timeline for Level of Measurement
Current License: CC BY-SA 3.0
8 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Jan 16, 2022 at 16:25 | answer | added | Gregg H | timeline score: 0 | |
Aug 14, 2018 at 9:14 | history | edited | Richard Hardy |
edited tags
|
|
Jan 31, 2018 at 1:09 | comment | added | Atbey | @whuber Thank you very much, I will start to read references now. | |
Jan 31, 2018 at 0:13 | comment | added | whuber♦ | I can't resist quoting Velleman and Wilkinson's conclusions: "A careful data analyst should not assume that the scale type of a variable is what it appears to be even when clear assurances are made about the data. ... [P]rograms based on Stevens’s typology suggest that doing statistics is simply a matter of declaring the scale type of data and picking a model. Worse, they assert that the scale type is evident from the data independent of the questions asked of the data. They thus restrict the questions that may be asked of the data. Such restrictions lead to bad data analysis and bad science." | |
Jan 31, 2018 at 0:10 | comment | added | whuber♦ | You must read Stevens' original paper, On the Theory of Scales of Measurement. Then read F. Lord, On the statistical treatment of football numbers. Finally, study Velleman and Wilkinson, Nominal, Ordinal, Interval, and Ratio Typologies are Misleading. (All can be found freely on the Web--start with Google Scholar.) As a math student you will make short work of this; you will appreciate George Birkhoff's contribution, which apparently few psychologists do :-); and you will get a clearer picture of how misunderstood levels of measurement are. | |
Jan 30, 2018 at 23:23 | answer | added | oszkar | timeline score: 1 | |
Jan 30, 2018 at 23:02 | review | First posts | |||
Jan 31, 2018 at 3:36 | |||||
Jan 30, 2018 at 22:58 | history | asked | Atbey | CC BY-SA 3.0 |