— Quantitative Methods in Community Research

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to statistical analysis of social data relevant to community research, planning and assessment, emphasizing data sources and acquisition, descriptive and inferential analysis techniques, and data interpretation and presentation. Emphasis on spatial data and methods, focusing on the sources, processing, analysis, and presentation of spatial data in a community assessment context. Learning Activities: Lecture 4 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL); Scientific Literacy (SL). CRD 150 — Quantitative Methods in Community Research (5 units) Course Description: Introduction to statistical analysis of social data relevant to community research, planning and assessment, emphasizing data sources and acquisition, descriptive and inferential analysis techniques, and data interpretation and presentation. Emphasis on spatial data and methods, focusing on the sources, processing, analysis, and presentation of spatial data in a community assessment context. Prerequisite(s): SOC 046B or STA 013 or STA 013V or STA 013Y or STA 032 ; consent of instructor. Learning Activities: Lecture 4 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Community & Regional Development, Human Development, International Agricultural Development, Pre-Landscape Architecture, Landscape Architecture, Sustainable Agriculture & Food Systems, and Sustainable Environmental Design majors. Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL); Scientific Literacy (SL). This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 4 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL); Scientific Literacy (SL). CRD 150 — Quantitative Methods in Community Research (5 units) Course Description: Introduction to statistical analysis of social data relevant to community research, planning and assessment, emphasizing data sources and acquisition, descriptive and inferential analysis techniques, and data interpretation and presentation. Emphasis on spatial data and methods, focusing on the sources, processing, analysis, and presentation of spatial data in a community assessment context. Prerequisite(s): SOC 046B or STA 013 or STA 013V or STA 013Y or STA 032 ; consent of instructor. Learning Activities: Lecture 4 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Community & Regional Development, Human Development, International Agricultural Development, Pre-Landscape Architecture, Landscape Architecture, Sustainable Agriculture & Food Systems, and Sustainable Environmental Design majors. Grade Mode: Letter. General Education: Social Sciences (SS); Quantitative Literacy (QL); Scientific Literacy (SL). This course version is effective from, and including: Winter Quarter 2027.