Gender Double Standard of Aging: How Perception of Age and Related Social Outcomes are Modulated by the Gender of the Perceived

Abstract

Understanding the influence of group labeling (e.g., gender, race, age) on social processes is one of the most important objectives of social psychology. Research in this tradition often studies the influence of one group label at a time; very little research has examined how multiple group labels (e.g., gender and age) simultaneously influence perception and social outcomes. Experiments in this dissertation combine behavioral methods and big-data analytics to examine (1) How does gender label of a target person influence age perception? (2) Are peoples’ intentions to vote for a candidate biased by the candidate's age and gender? (3) How do gender and seniority correlate with representation in high impact journals?