30320 - QUANTITATIVE METHODS FOR SOCIAL SCIENCES (MODULE II - STATISTICS)
Course taught in English
Go to class group/s: 23
In sum, this course aims to cultivate students’ nascent analytical abilities and develop their statistical reasoning and literacy; equip students with a computational competence in STATA software in a supportive learning environment for all students.
- Measuring political concepts (quantifying concepts, units of analysis, measurement error).
- Describing variables (graphs and synthetic measures).
- Describing the joint behavior of two variables and making controlled comparisons (cross-tabulations and graphs).
- Thinking probabilistically (elementary probability, the Normal distribution).
- The foundations of statistical inference (sampling, random selection, 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 (correlation, chi-square test).
- Simple Linear Regression (assumptions, ordinary least squares, f-test, t-test on the single coefficient significance).
There are no partial exams.
- Four assignments, of which three take-home and the last one in a IT room. Students are asked to answer questions through an online platform, on the basis of the results of a data analysis with SPSS. Each assignment is graded out of 28 and the final mark is given by the arithmetic mean of the assignment marks.
- In-class assessed activities: 3 points.
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 SPSS, 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.
- P. POLLOCK, A Stata Companion to Political Analysis, Sage, 2015, 3rd edition.
- A. Agresti, Statistical Methods for the Social Sciences, Pearson, 2014 , 4th edition, (selected chapters).
- Lecture Slides made available on e-learning.