![]() ![]() So this 20% variance at the school level could actually be caused, partly or wholly, by the fact that the pupils were actually different before they entered the school. But can we really interpret that as meaning "20% of the variance in exam scores is caused by schools"? Because schools differ in their intake policy and in the pupils who apply. So for example, suppose that we have data on exam results of pupils within schools and we fit a variance components model, and find that 20% of the variance is at the school level. But what if we want to look at the effects of explanatory variables? We've seen how to fit a variance components model and that lets us see how much of the variance in our response is at each level. Covariance matrix for a random intercepts modelġ) Random intercept models: What are they and why use them? Explanatory variables.Covariance matrix for a single level model. ![]() Random intercept models: the correlation matrix.Random intercept models: Variance partitioning coefficients.Random intercept models: Hypothesis Testing.Random intercept models: Adding more explanatory variables.Random intercept models: Research questions and interpretation.To watch the presentation go to Random intercepts models - listen to voice-over with slides and subtitles (If you experience problems accessing any videos, please email Random intercept models: What are they and why use them?.Random intercept models A transcript of random intercept models presentation, by Rebecca Pillinger ![]()
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