30320 - QUANTITATIVE METHODS FOR SOCIAL SCIENCES (MODULE II - STATISTICS)
Course taught in English
Go to class group/s: 23
- Measuring political concepts (quantifying concepts, units of analysis, measurement error).
- Describing variables (graphs and synthetic measures).
- Describing association between two variables and making controlled comparisons (cross-tabulations and graphs).
- Thinking probabilistically (random variables and the Normal distribution).
- The foundations of statistical inference (random sampling, point and interval estimation).
- Significance tests (hypothesis testing, type I and II errors, statistical significance, one sample and two samples t-test).
- Measures of Association (chi-square test and correlation).
- Linear Regression (assumptions, ordinary least squares, F-test, t-test on the single coefficient significance, categorical explanatory variables).
- Four tests. Students are asked to answer closed ended questions through Blackboard platform, on the basis of the results of a data analysis run with STATA. Each test is graded out of 31
- In-class assessed activities graded out of 31.
- One final general written exam to be taken in an IT room, with open ended questions to be answered on the basis of the results of a data analysis with STATA, using all the techniques introduced in the course. The general exam is graded out of 31.
- P. Pollock, The Essentials of Political Analysis, Sage, 2016, 5th edition, selected chapters.
- P. POLLOCK, A Stata Companion to Political Analysis, Sage, 2015, 3rd edition, selected chapters.
- A. AGRESTI, C. FRANKLIN, B. KLINGENBERG, The Art and Science of Learning from Data, Pearson, 2017 Global Edition, selected chapters.
- Lecture Slides delivered through Blackboard platform for E-learning.
Attendance of the course QUANTITATIVE METHODS FOR SOCIAL SCIENCES (MODULE I - MATHEMATICS).