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Multilevel analysis

Written by Ronny Gunnarsson and first published on August 26, 2015.
Last revised on September 8, 2019.

You must cite this article if you use its information in other circumstances. An example of citing this article is:
Ronny Gunnarsson. Multilevel analysis [in Science Network TV]. Available at: https://science-network.tv/multilevel-analysis/. Accessed June 7, 2023.
Suggested pre-reading What this web page adds
  1. Introduction to statistics
  2. Observations and variables
  3. Inferential statistics
  4. Choosing statistical analysis
  5. Associations and predictions
  6. Regression and correlation
 This web-page provides an introduction to multilevel models. Reading this will give you some understanding of it and when to use it.

(This page is still under construction. Sorry for the inconvenience.)

What is Multilevel Modelling? Start by watching a lecture held by by Mark Tranmer:

Different levels of nesting are put into the model as “random effects”. For each level how many “groups” do you need to have? Usually at least five . It might be a good choice to refrain from multilevel modelling if you have less than five groups on any given level.

Further reading

References

1.
Harrison XA, Donaldson L, Correa-Cano ME, Evans J, Fisher DN, Goodwin CED, et al. A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ [Internet]. 2018 May 23 [cited 2019 Aug 15];6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970551/
You must cite this article if you use its information in other circumstances. An example of citing this article is:
Ronny Gunnarsson. Multilevel analysis [in Science Network TV]. Available at: https://science-network.tv/multilevel-analysis/. Accessed June 7, 2023.

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