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.
| Semester: | Winter 2025 |
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| Instructors: | Jay R Kayser, Anao Zhang |
| U-M Class #: | 32998 |
| Program Type:
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Program Type describes the program in which you are pursuing, i.e., residential or online part-time.
At this time, residential students may not directly enroll in online program courses, rather a course enrollment petition is required.
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Residential |
| Format:
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Format refers to the instruction of an offering, i.e., in-person, hybrid, or online.
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In-Person |
| Credits: | 4 Credit Hours |
University of Michigan
School of Social Work
1080 South University Avenue
Ann Arbor, MI 48109-1106