Data Analysis and Statistics

Catalog description

This course introduces students to statistical techniques and data analysis within the context of social work and human services, focusing on both descriptive and inferential statistics. Students will learn to critically interpret and analyze statistical data, with particular attention to how biases—both conscious and unconscious—can influence research outcomes. Emphasizing ethical considerations, anti-oppressive research practices, and the promotion of social justice, the course prepares students to conduct research that serves marginalized and oppressed communities. Topics covered include data ethics, probability, hypothesis testing, regression analysis, and more, with SPSS software used for practical data analysis. Through a flipped classroom model, students will engage with online lectures and practice datasets before class, applying their knowledge in hands-on activities, discussions, and projects. Assignments include article critiques, quizzes, and in-depth projects analyzing real-world data. This course equips students to engage in practice- and research-informed social work, contributing to anti-racist, anti-oppressive practice and policy evaluations. Prerequisite: Introductory Social Work Research Methods ( SW 860 or equivalent).