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The statistical significance of main effects and interactions terms in the model was tested by F-tests in an analysis of the deviance (anodev) by looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for over dispersion in the data by calculating heterogeneity coefficients with the Williams algorithm [24], [25].
The statistical significance of main effects and interaction terms in the model was tested with F-tests by analysis of deviance, which involved looking at the change in deviance caused by the removal of each term from the maximal model after having allowed for overdispersion in the data by calculating a variance heterogeneity coefficient with the Williams algorithm (25, 26 ).
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For example if crime, anti-social behaviour and social deviance are not wholly caused by inequality, nor are they completely independent from it.
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(It was caused by something).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com