- Docente: Mariagrazia Benassi
- Credits: 3
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
-
Corso:
First cycle degree programme (L) in
Psychological sciences and techniques (cod. 8774)
Also valid for First cycle degree programme (L) in Psychological sciences and techniques (cod. 8774)
Learning outcomes
At the end of the course, the student has a sufficient knowledge of the methods for the data analysis in the psychological field to choose the appropriate statistical analysis and to interpret the corresponding outcomes.
Course contents
The course will take place during the second semester (from February to May) at the Cesena Campus of the School of Psychology and Education (address: piazza A. Moro, 90).
Introduction
· Statistical inference
· Probability definitions
· Probability properties
Statistical Parameters
· Descriptives statistics
· Probability distribution
· Probability density
· Statistical distributions: Binomial, Normal, Chi square, t, F
Statistical Test
· Basis of the statistical testing
· Null hypothesis
· Significance
· Power
· Sample size
Parametric Tests
· Student t-test
· Analysis of variance
· Regression analysis
· Repeated measures analysis
· Multivariate analysis
· The General Linear Model
Non-parametric tests
· Contingency tables
· Sign test
· Rank tests
Readings/Bibliography
Howitt D. Cramer D. (2014) Intoduzione alla Statistica per
Psicologia (a cura di Bolzani, Benassi, Rossi). Pearson,
Milano-Torino.
Teaching methods
Frontal lessons and seminars of discussion organized in groups.
Assessment methods
The exam consists of a written test to check the achievement of the abilities described in the learning outcomes. The candidate is asked to study the topics related to the statistical testing logic, their procedures and their assumptions.
The written exam consists of 31 multiple choice questions (time 50 minutes).
The student is required to complete the online registration within the terms in order to be admitted to the exam. In the case of technical problems the student is required to contact the docent by e-mail. The docent will consider the request and decide about the admission.
Teaching tools
The frontal lessons are supported by different materials:
- Books
- Scientific articles
Office hours
See the website of Mariagrazia Benassi