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Model fits are the Aikake information criteria of models predicting the linguistic feature from just the language family, from population alone, and from the three demographic variables, respectively.

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NIAID Data Ecosystem2026-03-06 收录
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https://figshare.com/articles/dataset/_Model_fits_are_the_Aikake_information_criteria_of_models_predicting_the_linguistic_feature_from_just_the_language_family_from_population_alone_and_from_the_three_demographic_variables_respectively_/537631
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Smaller values indicate better fits. § = Demographics and geographic location predict typology better than geographic location alone (χ2 model comparison (p<.05). $ = Predictive power of population is reduced (significantly larger residual deviations) by randomly shuffling languages within their families. Indicates that reported effects generalize to within language families. ** = Reported pattern is significant (p between 0.05 and 10–11) after controlling for language family. ◊ = Pattern no longer significant (p≥.05) after controlling for language family. 1 = Area and Number of Neighbors are significant predictors controlling for population. . = Consistent with the pattern reported, but not significant. x = Pattern after controlling for geographic covariates is non-significantly inconsistent with the pattern observed without controlling for geographic location.
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2010-01-20
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