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 and provide a supportive learning environment for all willing students, especially those who feel intimidated by quantitative material.
- Measuring political concepts (quantifying concepts, units of analysis, measurement error).
- Describing Variables (central tendency, dispersion, standard deviation).
- Thinking Probabilistically (elementary probability, estimating probability under the normal curve).
- The Foundations of Statistical Inference (sampling, random selection, point and interval estimation).
- Making Comparisons and Framing Hypotheses (multivariate distributions, hypothesis testing, t-distribution, t-test, statistical significance, type I and II errors).
- Measures of Association (correlation, chi-squared test).
- Simple Linear Regression (OLS, sum of squares, f-test, assumptions).
- 6 individual homework assignments during the course (max 6 points);
- 2 written partial exams or a general written exam (max 25 points);
- P. Pollock, The Essentials of Political Analysis, Sage (including the STATA companion book), 2012, 4th edition.
- A. Agresti, Statistical Methods for the Social Sciences,Pearson, 2014 , 4th edition.
- Lecture Slides made available on e-learning