Quantitative Methods in Social Research

About

This course is designed to introduce applied researchers to and help them become familiar with quantitative methodologies in emprical social research. The introductory methods course begins with key quantitative concepts, such as measures of central tendency, dispersion, distributions, hypothesis testing, test statistics, confidence intervals, and so on. The following topics cover the fundamentals of linear regression models, primarily focusing on model specifications and assumptions. The methods covered will be demonstrated using R and a variety of example datasets. By the end of the course, students should be able to understand introductory quantitative methods, apply them to their research questions and evaluate their use in published research. Students should also be able to acquire a working knowledge of performing such statistical analyses using R.

Course leader

Burak Sonmez, PhD - UCL Social Research Institute at University College London

Target group

Professionals, Researchers, and Students, who wish to develop high-quality surveys and employ up-to-date statistical methods for survey data analysis. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.