In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation, ANOVA, and regression. Students will manage and analyze data using the Stata statistical software package. Throughout the course of the term students will pose their own research question for which they will find and analyze data, culminating in a final research report and presentation of the results. This course is strongly encouraged for sophomores and juniors considering advanced work in social science with quantitative research components. Because we will primarily focus on the application of statistical techniques (not the mathematical formulas behind them), no math beyond high school algebra is required for this course.
Learning Outcomes:
Delivery Method: Hybrid in-person and remote, with faculty in-person
Prerequisites:Permission of instructor.
Course Level: 4000-level
Credits: 4
M/Th 1:40PM - 3:30PM (Full-term)
Maximum Enrollment: 10
Course Frequency: Once a year
Categories: All courses , Hybrid In-Person and Remote , Psychology , Sociology
Tags: psychology , Quantitative reasoning , Research