Statistical Methods in Social Sciences 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. Doctoral and graduate-level students outside of the Social Work and Social Welfare program may be eligible to take this course without taking the first course in the series (SW 850), assuming they have gained the content of SW 850, elsewhere.
This course will meet from 1:00-4:00 for the lecture component; the lab component will meet from 4:00-5:00.
You must enroll in the lab component of this course; once enrolled in the lab (section 002), you will automatically be enrolled in the lecture component (section 001).
For classroom location information, please check the course Canvas site or contact the instructor.
Other SW851 Offerings
The course listings below are provided for reference only. These offerings may be subject to changed of cancellation.
No other course offerings found this term.