|
Statistical methods are a primary tool for all of the social and behavioral sciences. The course introduces a wide variety of common statistical techniques and their conceptual bases, including: basic descriptive and inferential statistics, analyses of association and variance, correlation and regression, and others in their parametric and nonparametric forms. It provides a background in the relevant theories of provability, sampling, and measurement. |
|
Prerequisites include some knowledge about:
- elements of linear algebra
- elements of geometry
- elements of numeric functions |
|
At the end of the course, the student will learn how to select the most appropriate tecniques for data analysis and how to apply them in several situations and research contests. |
|
Measure theory and measurement scales. Descriptive statistics, inferential statistics, hyphotesis testing: Chi Square, Student's t, test z, ANOVA, MANOVA. Correlation and regression analyses, factorial analysis. |
|
Ercolani A.P., Areni A., Leone L. - Elementi di Statistica per la psicologia - Il Mulino - Bologna 2008.
BARBARANELLI C., ARENI A., ERCOLANI A.P., GORI F. 450 quesiti di statistica psicometria e psicometria. LED, Milano, 2000.
BARBARANELLI C., Analisi dei dati. LED Edizioni Universitarie, Milano, 2003. |
|
The exercises are useful for exam preparation. |
|
Professor/Tutor responsible for teaching
|