This course focuses on the “doing” of quantitative social science analysis. Students are required to complete a series of assignments designed to provide a working familiarity with data analysis and SPSS [Statistical Package for the Social Sciences], a statistical software package widely used in business and the social sciences. The overall goal of the course is to make students better consumers of quantitative social science results by giving them a better understanding of how “the numbers” are produced. Topics include: cross-tabulation tables, Chi-square, t-tests, ANOVA, bivariate regression, and multiple regression.
SOCI 205 B1
Linnenberg, Kathryn D.
Course Format Description
Synchronous online course meetings three times each week. Live attendance at the synchronous meetings is preferred, but accomodations will be made for students who are unable to do so. Asynchronous activities will include recorded lectures and small group work that students will schedule for themselves.