Statistics for Social Science
Course Description
Summary
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
- Students will learn how to employ a variety of statistical methods for data analysis.
- Students will understand how to analyze and interpret tables, charts, and statistics in social science research and media sources.
- Students will identify and use the correct quantitative methods to answer your research questions.
- Students will present your statistical findings in writing, charts, and tables in the context of a social science research paper.
- Students will become proficient in writing syntax in Stata.
Prerequisites
Permission of instructor.
Please contact the faculty member : emilywaterman@bennington.edu