APPLIED QUANTITATIVE EDUCATION RESEARCH
Introduces how quantitative research methods are applied in empirical education research. Focused on data exploration, manipulation, visualization, and simple analyses with secondary datasets and R or other programming language.
Prerequisites & course information
Requisites: ED POL 209 Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Breadth - Social Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Apply basic quantitative research methods to education research Audience: Undergraduate 2. Employ statistical software to import, manage, transform, visualize and analyze education data and research. Audience: Undergraduate 3. Develop skills necessary to interpret secondary datasets in education research using appropriate quantitative methods. Audience: Undergraduate Learning Outcomes: 1. Apply basic quantitative research methods to education research Audience: Undergraduate 2. Employ statistical software to import, manage, transform, visualize and analyze education data and research. Audience: Undergraduate 3. Develop skills necessary to interpret secondary datasets in education research using appropriate quantitative methods. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027