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==Statistical tests==
The type of statistical tests that are employed in multilevel models depend on whether one is examining fixed effects or variance components. When examining fixed effects, the tests are compared with the standard error of the fixed effect, which results in a [[Z-test]].<ref name="Cohen" /> A [[t-test]] can also be computed. When computing a t-test, it is important to keep in mind the degrees of freedom, which will depend on the level of the predictor (e.g., level 1 predictor or level 2 predictor).<ref name="Cohen" /> For a level 1 predictor, the degrees of freedom are based on the number of level 1 predictors, the number of groups and the number of individual observations. For a level 2 predictor, the degrees of freedom are based on the number of level 2 predictors and the number of groups.<ref name="Cohen" />
[[File:Statistical Power Graph.jpg|thumb|309x309px]]
==Statistical power==
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