Advanced Statistics
Prerequisites: Restricted to students in the Social Work PhD program; Completion of SOWK 800 with a grade of B- or higher; Students in other LUC Doctoral programs may register for the course with approval from the School of Social Work Doctoral Program Director; Completion of a course comparable to SOWK 800 with a grade of B- or higher is required; Interested non-social work PhD students are to submit the comparable course syllabus to the social work Doctoral Program Director for review and approval.
This is the second in a two-semester sequence of statistics courses required of all social work doctoral students. The course covers various multivariate statistical analysis techniques to test hypotheses that are most relevant to issues of social, economic, racial, and environmental justice.
Outcomes: Understand correlation, two-way ANOVA, linear, multiple, and logistic regression; Apply these techniques, test assumptions, and interpret results using statistical software; Promote critical thinking around how statistics can be used to both marginalize and empower racial, ethnic, and other identity and/or geographic community groups, and around ethics in quantitative analysis.
This is the second in a two-semester sequence of statistics courses required of all social work doctoral students. The course covers various multivariate statistical analysis techniques to test hypotheses that are most relevant to issues of social, economic, racial, and environmental justice.
Outcomes: Understand correlation, two-way ANOVA, linear, multiple, and logistic regression; Apply these techniques, test assumptions, and interpret results using statistical software; Promote critical thinking around how statistics can be used to both marginalize and empower racial, ethnic, and other identity and/or geographic community groups, and around ethics in quantitative analysis.