First part (prof. Ballarino):
Introduction to quantitative analysis.
Variable types, centrality measures.
Dispersion measures and frequency distributions.
Central limit theorem and the logic of inference.
Bivariate analysis (crosstabs and mobility tables, correlation and differences in means).
Second part (prof. Panichella):
The logic of test and t-test.
The logic of multivariate analysis (controls and interactions).
Regression model and regression function.
OLS regression models.
Model specification and interpretation
Agresti, A. and Finlay, B. Statistical Methods for the Social Sciences, fifth edition, Pearson Global Edition. Chapters: 1, 3, 5, 6, 8, 9, 14.
Mehmetoglu, M., & Jakobsen, T. G. (2016). Applied statistics using Stata: a guide for the social sciences. Sage.
Bernardi, F., Chakhaia, L., & Leopold, L. (2017). 'Sing me a song with social significance': The (mis) use of statistical significance testing in European sociological research. European Sociological Review, 33(1), 1-15.
Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political analysis, 14(1), 63-82.
King, G., Tomz, M., & Wittenberg, J. (2000). Making the most of statistical analyses: Improving interpretation and presentation. American journal of political science, 347-361
Nagler, J. (1995). Coding Style and Good Computing Practices. PS: Political Science & Politics, 28(03), 488-492.