statistical methods in social science iI

This is a foundational course for statistical analyses in social sciences. As the second of a required statistics sequence for doctoral students in social work and social welfare, students will further advance their understanding of correlation and regression analysis theories, and their applications to addressing social problems and issues and advancing social justice. Core topics covered in this course will include Pearson’s correlation (r), other measures of association (e.g., Spearman, Phi coefficient, Point-biserial), simple linear regression, multiple regression, simple mediation and moderation, and be prepared for advanced topics, e.g., multi-level modeling, structural equation modeling among others.