The Political Gender Gap: Gender Bias in Facial Inferences that Predict Voting Behavior
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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/917945"], "description"=>"<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.001</i>; *** <i>0.0001</i>).</p>", "links"=>[], "tags"=>["linear", "regression", "facial", "inferences", "predictor", "variables", "votes", "won", "simulated", "criterion", "controlling", "incumbency"], "article_id"=>588395, "categories"=>["Neuroscience", "Evolutionary Biology"], "users"=>["Joan Y. Chiao", "Nicholas E. Bowman", "Harleen Gill"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003666.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_from_multiple_linear_regression_model_with_facial_inferences_as_predictor_variables_and_percentage_of_votes_won_in_simulated_U_S_Presidential_voting_as_the_criterion_variable_controlling_for_political_incumbency_and_party_/588395", "title"=>"Results from multiple linear regression model with facial inferences as predictor variables and percentage of votes won in simulated U.S. Presidential voting as the criterion variable, controlling for political incumbency and party.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:47:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/917796"], "description"=>"<p>Each point represents a congressional candidate in the 2006 House of Representative election.</p>", "links"=>[], "tags"=>["voters", "voted", "candidates", "inferred", "competence", "approachability", "attractiveness"], "article_id"=>588249, "categories"=>["Neuroscience", "Evolutionary Biology"], "users"=>["Joan Y. Chiao", "Nicholas E. Bowman", "Harleen Gill"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003666.g002", "stats"=>{"downloads"=>2, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatterplots_of_percentage_of_female_top_row_and_male_bottom_row_voters_in_the_current_experiment_who_voted_for_female_left_column_and_male_right_column_political_candidates_as_a_function_of_inferred_competence_black_circles_approachability_blue_circles_/588249", "title"=>"Scatterplots of percentage of female (top row) and male (bottom row) voters in the current experiment who voted for female (left column) and male (right column) political candidates as a function of inferred competence (black circles), approachability (blue circles) and attractiveness (red circles).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 07:46:48"}

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