How many X's do you know'' surveys - Columbia University

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Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next 3 models Fitting our model Results: how many people do you know? Results: group sizes and overdispersions Confidence building and model extensions Do you know 0, 1, 2, or 3 or more Nicoles? ◮ Censored-data model ◮ y ik = 0, 1, 2, or ≥ 3 ◮ Use negative-binomial likelihood function: Pr(y =0), Pr(y =1), Pr(y =2), 1 − Pr(y =0) − Pr(y =1) − Pr(y =2) ◮ Gibbs-Metropolis algorithm is otherwise unchanged ◮ Check with our data: parameter estimates are similar but problems with model fit for high values of y Gelman, DiPrete, Salganik, Teitler, Zheng Studying polarization using surveys
Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next 3 models Fitting our model Results: how many people do you know? Results: group sizes and overdispersions Confidence building and model extensions Do you know 0, 1, 2, or 3 or more Nicoles? ◮ Censored-data model ◮ y ik = 0, 1, 2, or ≥ 3 ◮ Use negative-binomial likelihood function: Pr(y =0), Pr(y =1), Pr(y =2), 1 − Pr(y =0) − Pr(y =1) − Pr(y =2) ◮ Gibbs-Metropolis algorithm is otherwise unchanged ◮ Check with our data: parameter estimates are similar but problems with model fit for high values of y Gelman, DiPrete, Salganik, Teitler, Zheng Studying polarization using surveys
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How many X's do you know'' surveys - Columbia University

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