# Reference Collection to push back against "Common Statistical Myths"

**URL:** <https://discourse.datamethods.org/t/reference-collection-to-push-back-against-common-statistical-myths/1787>\
**Category:** data analysis\
**Tags:** teaching, journal\
**Created:** [June 27, 2019, 12:51pm UTC](https://discourse.datamethods.org/t/reference-collection-to-push-back-against-common-statistical-myths/1787 "2019-06-27T12:51:23Z")\
**Posts on this page:** 1\
**Showing post:** 49

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**Author:** ![R\_cubed](https://discourse.datamethods.org/user_avatar/discourse.datamethods.org/r_cubed/32/1518_2.png) [@R\_cubed](https://discourse.datamethods.org/u/R_cubed)\
**Post date:** [May 29, 2021, 8:53pm UTC](https://discourse.datamethods.org/t/reference-collection-to-push-back-against-common-statistical-myths/1787/49 "2021-05-29T20:53:50Z")

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Found a great resource on the fallacies on using parametric methods on ordinal data. Which section of this wiki should it be added?

> **[Do not use averages with Likert scale data](https://bookdown.org/Rmadillo/likert/summary.html)**
>
> This is a short overview of why averages don’t work well for evaluating Likert scale or other ordinal-scale data, and what to do instead, with examples using R.

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