Course descriptions may change. Check here for the most current version.
SOSC 1200 Quantitative Social Analysis [3 Credits]
This course introduces students to quantitative social analysis by presenting a selection of influential classic studies from across the social sciences that make use of quantitative techniques to examine important topics as crime, careers, health, education, inequality, family, and economic, social and political change. The class will also present examples of recent studies that make exemplary use of innovative data and methods. Along the way, students will learn about the differences between the concerns, paradigms, and methodologies of the major social science disciplines.
SOSC 1210 First-year Seminar [1 Credit]
Through presentations from invited guests, this seminar will introduce students to quantitative research using social data being conducted by faculty in the Division of Social Science and elsewhere, and to applications of quantitative social analysis in government, industry, and non-governmental organizations. Remaining class sessions will introduce the goals and organization of the program, and survey careers in which students may make apply their skills in quantitative social analysis, and lead discussions about how to prepare for those careers. For QSA students only. For other students, instructor approval is required for enrolling in the course. Graded P or F.
SOSC 2400 Intermediate Statistics for Social Research [3 credits]
Introduction to quantitative methods used across social science disciplines. The course covers basic statistical inference, the linear regression model, and regression analysis in practice. The emphasis is applied. Students will learn to use a major statistical package to analyze social data of the type commonly used in research. Special attention will be given to the specification of models, the interpretation of results, and the challenges posed by reverse causality, omitted variable bias, endogeneity, and other issues that commonly arise in the analysis of social data. The course will briefly introduce elaborations the linear regression model developed to address specific situations such as limited dependent variables. Students who do not have the pre-requisites may enroll in the course with approval by the instructor. Prerequisite: SOSC 1100.
SOSC 3700 Quantitative Social Analysis Laboratory [1 credit]
Students will conduct a small research project related to the theme of a course from the QSA topical elective list in which they are simultaneously enrolled. Students will locate a relevant publicly-accessible dataset, conduct an analysis, and then write up the results. At class meetings, students will discuss progress on their projects with each other, and present their final results. The course is intended to prepare students for the Capstone Project by giving them experience independently applying skills acquired in SOSC 2400, MATH 2411, and SOSC 2140 on a topic of their own choice. For QSA students only. For QSA students with instructor’s approval only. Students are expected to be simultaneously enrolled in one of the topical electives for the QSA major, but subject to the approval of the instructor may be co-enrolled in another topical course with a social science focus. May only be taken twice. Prerequisites: SOSC 2400, MATH 2411, SOSC 2140.
SOSC 4100 Research Proseminar [1 credit]
Students will meet regularly to develop ideas for their Capstone Project. Faculty in the Division of Social Science and elsewhere who have datasets that students may use for their Project will be invited to introduce those datasets. Some class sessions will be devoted to meetings with speakers in the Division of Social Science seminar series, who will be asked to share their experiences developing their careers, and offer advice to students contemplating postgraduate studies. For 4th year QSA students only. Prerequisite: SOSC 3700.
SOSC 4110 Capstone Project [3 credits]
The capstone project aims to prepare students to conduct independent research in quantitative social science. Students will choose a topic, identify appropriate data and methodologies, design and execute an analysis, and write up and present the results. For 4th year QSA students only. Enrollment in the course requires approval of the course coordinator.