Social Science Research: Study Chinese Society

This module introduces the key elements of a research proposal, including aims, impact and significance, background literature review, methodology, and data. It prepares learners to design a social science research study.

This module discusses the various sources social scientists use for research, including survey data, public data, administrative and archival microdata, multi-generational microdata, aggregated data, qualitative sources, and new data sources.

This module covers the importance of random sampling in surveys, outlines common sampling approaches, and discusses key considerations when choosing a sampling strategy. It also covers survey preparation, questionnaire design, and response rates.

This module discusses major sources of public data available for China, including the China General Social Survey, China Health and Retirement Longitudinal Survey, China Family Panel Studies, China Health and Nutrition Survey, and the China Multigenerational Panel Datasets.

This module introduces basic methods for quantitative analysis, including tabulations, correlation and regression, regression to the mean, statistical significance, and Type I and II errors. It aims to help learners identify key issues when interpreting results and discuss implications for research.

This module covers major ethical and professional concerns in social science research, including protection of subjects, consent, confidentiality, international research, research funding and publication, data sharing, and mentor/student relationships.

This module discusses options for further study in social science research and outlines steps to move forward in the application process for advanced training. It covers choosing a postgraduate program, writing personal statements, research proposals, and obtaining recommendation letters.

This module consists of the final exam and a post-course survey. It aims to assess the learner's understanding of the entire course content.