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Multilevel analysis

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INFOVOICE.SE

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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.

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

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