Likert scales, levels of measurement and the “laws” of statistics
By Geoff Norman. Advances in health sciences education : theory and practice, 2010
4,726 citations recorded by the source corpus.
Subfields: Statistics and Probability, Surgery
View Paper: https://www.semanticscholar.org/paper/ab3cd200735f3d11dcc980cf24e70320ce9d9a85
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Alistair Willis
- Paul Piwek
- Jacopo Amidei
- Sijing You
- Mireia Guix
- S. Tutwiler
- M. J. Bonilla-Priego
- Xavier Font
In Surgery
- Sijing You
- S. Tutwiler
- Pedro Lopes
- Matthew Charles Weston
- Jacqueline Murray
- M. Pedler
- Verena Rieser
- Patrick Baudisch
Citations in the corpus
- How to analyze Likert and other rating scale data (2015, methodology): “Likert scales are a common measurement method in educational contexts.(23) His approach involved the presentation”
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, background): “6Some readers might have reservations over parametric tests being applied to ordinal data: we point to recent literature that has emphasised [53] that Likert data are robust to parametric assumptions, and that ‘parametric methods can be utilized without concern for “getting the wrong answer”’.”
- The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations (2019, methodology): “As proved by previous studies, see for example Norman (2010), the use of parametric statistics is quite robust with ordinal data.”
- Strengthening personal growth: The effects of a strengths intervention on personal growth initiative (2018, background): “However, parametric statistics such as ANOVA and linear regression are generally highly robust for non-normal distributions when sample sizes are not too small, as in our case (Hayes, 1996; Norman, 2010).”
- A sense of belonging at university: student retention, motivation and enjoyment (2021, methodology): “Ordinal data has been found to be a valid and reliable approximation of a continuous variable when there are five or more levels included (Johnson and Creech 1983; Norman 2010; Sullivan and Artino 2013; Zumbo and Zimmerman 1993), such as the 5-point Likert scale used above.”