Multilevel analysis

Du måste hänvisa till denna webbsida om du använder informationen någon annanstans.
Hur detta skall se ut beror på var du återanvänder informationen. Det kan exempelvis se ut så här:
Ronny Gunnarsson. "Multilevel analysis" [på INFOVOICE.SE]. Tillgänglig på: https://infovoice.se/multilevel-analysis/. Informationen hämtad January 26, 2021.
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.

(Denna webbsida är under konstruktion. Vi beklagar olägenheten.)

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/
Du måste hänvisa till denna webbsida om du använder informationen någon annanstans.
Hur detta skall se ut beror på var du återanvänder informationen. Det kan exempelvis se ut så här:
Ronny Gunnarsson. "Multilevel analysis" [på INFOVOICE.SE]. Tillgänglig på: https://infovoice.se/multilevel-analysis/. Informationen hämtad January 26, 2021.

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