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However, nesting observations at both levels resulted in a deterioration of model fit (AIC = 34,572.26), compared to the multilevel model with random intercepts for backers (AIC = 34,477.50).
We computed the Akaike Information Criterion (AIC) to determine model fit.
We found that adding Logo complexity to Model 1 (a model with no logo-related controls) improved the AIC from
improved the AIC from 34,480.41 to 34,477.50.
AIC 34,579.40 34,571.94 34,480.41 34,477.50
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