Program Overview

Program Overview

The Quantitative Research Methods (Social Statistics Analysis) course focuses on the systematic analysis and quantitative research methods in the social sciences. This course aims to cultivate students' ability to analyze social phenomena using statistical tools, combining theoretical learning with practical operations to master core skills in data collection, cleaning, modeling, and result interpretation.

Course Details

Course Introduction

The Quantitative Research Methods (Social Statistics Analysis) course is designed to apply quantitative research methods in the social sciences domain. Through a combination of theoretical learning and practical operations, students will develop the ability to analyze social phenomena using statistical tools.

Instructor and Schedule

• Instructor: Li Ding
• Schedule: March 8, 15, 9:00-12:00; 13:30-16:30 (actual class time is subject to the instructor's confirmation)

Reference Textbooks

• "Social Research Methods" by Feng Xiaotian (5th or 6th edition)
• "Social Research Methods - Qualitative and Quantitative Approaches" by Lawrence Neumann (suitable for beginners)
• "Social Data Statistical Analysis" by David Knott (4th edition, suitable for beginners)

Course Nature and Format

• Course Nature: Topic-based subject
• Course Format: Online and offline synchronous

Instructor Introduction

Li Ding is an associate professor at the School of Sociology, Renmin University of China, a researcher at the National Development and Strategy Research Institute, and the secretary-general of the China Social Policy Research Institute. His research areas include urbanization, informationization, and rural-urban development and governance issues. He teaches courses such as Urban Community Research, Social Survey Research Methods, SPSS Basics and Applications, and Empirical Research and Stata Statistical Analysis.