This course provides the basic tools to analyze micro-data in social sciences with the software for statistical analysis R. This course focuses the basic concepts of statistics (descriptive statistics, test, estimation, cross table, variance analysis, correlation, regression, logistic regression, etc.). Through this course, students learn how interpret results of analysis in social science.
By the end of this course, students will be able to:
1) Understand the basic tools to analyze microdata in social sciences.
2) Analyze microdata with R.
3) Provide presentation their result of analysis.
Quantitative sociology, Statistics, Software for statistical analysis R
✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Computer exercise
Course schedule | Required learning | |
---|---|---|
Class 1 | Quantitative analysis in social sciences | Understand the nature of quantitative analysis in social sciences. |
Class 2 | Descriptive statistics | Understand descriptive statistics and acquire analytical skills. |
Class 3 | Estimation and test | Understand estimation and test, and acquire analytical skills. |
Class 4 | Cross table | Understand cross table and acquire analytical skills. |
Class 5 | Variance analysis | Understand variance analysis and acquire analytical skills. |
Class 6 | Correlation | Understand correlation and acquire analytical skills. |
Class 7 | Regression: single and multiple regression analysis | Understand regression and acquire analytical skills. |
Class 8 | Regression: dummy variable and interaction | Understand dummy variable and interaction in regression. |
Class 9 | Logistic regression | Understand logistic regression and acquire analytical skills. |
Class 10 | Ordered logistic regression | Understand ordered logistic regression and acquire analytical skills. |
Class 11 | Multinomial logistic regression | Understand multinomial logistic regression and acquire analytical skills. |
Class 12 | Multilevel analysis | Understand multilevel analysis and acquire analytical skills. |
Class 13 | Presentation | Presentation |
Class 14 | Presentation | Presentation |
Class 15 | Presentation | Presentation |
Textbooks will be specified by the instructor.
Materials will be specified by the instructor.
Students' course scores are based on class reports 50% and the final presentation 50%.
Students require the basic knowledge of statistics.