This advanced doctoral seminar provides an intensive exploration of quantitative research methods for studying antisemitism. Students will master key quantitative techniques including survey research, experimental design, regression analysis, and data visualization. The course emphasizes applying statistical methodologies to empirical data sets focusing on antisemitic attitudes, incidents, and policies. Students will critically evaluate published quantitative studies and gain hands-on experience using statistical software packages, ensuring they are prepared to produce rigorous and policy-relevant antisemitism scholarship.