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Course description |
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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. |
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Prerequisites |
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Prerequisites include some knowledge about:
- elements of linear algebra
- elements of geometry
- elements of numeric functions |
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Objectives |
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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. |
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Program |
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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. |
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Book |
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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. |
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Exercises |
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The exercises are useful for exam preparation. |
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Professor |
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Professor not available
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