INTRODUCTION TO QUANTITATIVE METHODS IN SOCIAL SCIENCE

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Ascertain differences in data structures and key statistical properties to understand types of quantitative data used in consumer science research Audience: Graduate 2. Master technical proficiency in linear regression and statistical inference by applying these techniques to real-world consumer data Audience: Graduate 3. Critically assess estimates derived from linear models commonly used in consumer research by evaluating the accuracy, precision, and relevance of model estimates to draw meaningful insights from empirical analyses Audience: Graduate 4. Discern the suitability of model assumptions for different empirical challenges in consumer research by evaluating assumptions and selecting and modifying models to best fit the specific characteristics of the data and the nature of the research question Audience: Graduate Learning Outcomes: 1. Ascertain differences in data structures and key statistical properties to understand types of quantitative data used in consumer science research Audience: Graduate 2. Master technical proficiency in linear regression and statistical inference by applying these techniques to real-world consumer data Audience: Graduate 3. Critically assess estimates derived from linear models commonly used in consumer research by evaluating the accuracy, precision, and relevance of model estimates to draw meaningful insights from empirical analyses Audience: Graduate 4. Discern the suitability of model assumptions for different empirical challenges in consumer research by evaluating assumptions and selecting and modifying models to best fit the specific characteristics of the data and the nature of the research question Audience: Graduate