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S2E25: Options for Small Samples

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Is There a Way to Get More Information?

There are two flavors of maximum likelihood we have in the multi level model. Full information maxim likelihood is computed assuming that the fixed effects are known. Restrictive maxim likelihood says i come on, these are sample estimates and we need to factor that into it. In a multi level modelling framework, we actually have more resources available to us than we do in an m at least currently. You can have a thousand kids but only ten class rooms? This is what i alluded to earlier. And then another logarithm called k-means which shows how many classes you have across each room.

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