Quantitative Research Methods

Catalog description

In this course, students will harness statistical analysis to tackle real-world questions. It is designed for undergrads and grads with introductory statistical knowledge. The curriculum covers techniques such as correlation, ANOVA, and regression but emphasizes the derivation of meaning for applied audiences using cross-sectional, nested, and time-series data. The hands-on experience extends to data cleaning, analysis of missing data, variable transformation, and other data management tasks facilitated by statistical software. Initially, students work on provided data. Later, they collaborate in teams finding data to complete a significant project suitable for publication. This practical approach equips students with the skills to analyze and interpret complex data, contributing to informed decision-making in social sciences.