The course is conducted in English。

Does social inequality transmit from parents to children? Does the effect of education on income differ by gender? How do adverse childhood experiences affect adulthood outcomes? Extending the materials we covered last semester, we will use statistics and programming to answer more advanced and complex questions this semester. This course introduces tools to test the assumptions of the regression model, take into account categorical variables and interaction effects in regression analysis, deal with multicollinearity, treat categorical variables as outcomes, and analyze panel data. Applying statistics, analyzing data, and interpreting results are the focuses of our class. Although very basic calculation skills (e.g., +, -, ×, ÷, √) and knowledge of hypothesis testing and bivariate linear regression are required, you do not need further mathematics knowledge to be successful in this class. The prerequisite of this course is SOC 1028 Social Statistics or equivalent.

After taking this course, you are expected to be able to: 1. Explain key statistical concepts in your own words. 2. Analyze real life data, including cross-sectional and longitudinal data, using R programming. 3. Interpret results from the statistical models covered in class. 4. Apply statistical methods and computer skills to address daily and social issues. 5. Evaluate statistics and statistical method used in academic research.

Please see the attached syllabus.

Please see the attached syllabus.

Please see the attached syllabus.