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Thread: SE MultiLevel Models

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    SE MultiLevel Models




    Not accounting for dependence in observations and not using the appropriate cross-sectional multilevel model results in parameter estimate's standard errors (SE) being biased downward. WHY?
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    trinker (01-10-2015)

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    Re: SE MultiLevel Models


    Is this because if you did use a Multi-level model, that you now would have an additional error term. With this additional term the prior SE from a one level model would now account for a smaller proportion of the new total variation?

    And/or

    Does it deal with misspecification of the model leaves terms out, in which the appropriate model would require a larger sample size due to more terms?
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