Quantitative sociology

Empirical sociology research with CFPS, CGSS, CHARLS and other Chinese microdata — covering family, class, mobility, and health inequality studies.

target audience:Sociology grad students, social work researchers, urban / community studies, family studies

core datasets

China Family Panel Studies 2018 · China Family Panel Studies 2020 · Chinese General Social Survey 2017 · Chinese General Social Survey 2021 · China Health and Retirement Longitudinal Study 2020 · China Labor-force Dynamics Survey 2016

common concepts

Personal annual income · Family annual income · Education attainment · Urban / rural status · Marital status · Self-rated health

key methods

All methods below run inside the wizard with verified Stata / Python / R templates.

methodtypical use
ologit / oprobit有序响应——自评健康、生活满意度等 Likert 量表
多层模型 mixed学生嵌套于学校、个人嵌套于社区,用 xtmixed / lme4
中介 mediation教育→收入→主观幸福感等典型路径
DID / 政策冲击户籍改革、农村合作医疗、生育政策等准实验
Heckman 选择偏差就业 / 婚姻样本选择问题

common research questions

other disciplines

get started

Upload your data, declare research roles (DV / IV / controls), and the wizard runs the matching templates and generates a Word report — coefficients, standard errors and p-values come from real CSVs, never synthesised text.