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NEW: Rebecca A. Johnson, Simone Zhang, "Predictive Algorithms and Perceptions of Fairness: Parent Attitudes Toward Algorithmic Resource Allocation in K-12 Education." https://t.co/wnTqawUOxj (tw)
NEW: Cristobal Young, Benjamin Cornwell, Barum Park, Nan Feng, "Inequality and Social Ties: Evidence from 15 U.S. Data Sets" https://t.co/T8NLijGvQx (tw)

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Navigation Sociological Science Primary Navigation Inequality and Total Effect Summary Measures for Nominal and Ordinal Variables Trenton D. Mize Bing Han Abstract Many of the topics most central to the social sciences involve nominal groupings or ordinal rankings. There are many cases in which a summary of a nominal or ordinal independent variables effect or the effect on a nominal or ordinal outcome is needed and useful for interpretation. For example for nominal or ordinal independent variables a single summary measure is useful to compare the effect sizes of different variables in a single model or across multiple models as with mediation.
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