CODICE | 104904 |
---|---|
ANNO ACCADEMICO | 2022/2023 |
CFU |
|
SETTORE SCIENTIFICO DISCIPLINARE | SECS-S/05 |
SEDE |
|
PERIODO | 2° Semestre |
MATERIALE DIDATTICO | AULAWEB |
The teaching introduces students to the fundamental tools of statistical analysis for politics and international relations. During the lessons a wide use of statistical software will be made, giving the course a more operational rather than theoretical approach.
The teaching provides the students with the basic notions of the statistical methods useful for the study of political science and international relations. The students will be able to produce statistical reports with data tables, graphs and more complex analyses such as multiple regression. The teaching has an application-oriented approach, and several hours will be devoted to the introduction to data analysis software such as Microsoft Excel and IBM SPSS".
None
Face-to-face lectures. In case it would be impossible, for health reasons, to carry out the lessons in presence, they will be delivered remotely in streaming mode.
1. Introduction: statistics for politics and international relations
2. Categorical data analysis:
3. Continous data analysis
4. Statistical analysis with SPSS and other statistical analysis software
Williams H. M. (2020). Statistics for Politics and International Relations Using IBM SPSS Statistics. Sage Publishing
Ricevimento: Orari di ricevimento per l'A.A. 2022/23 Il ricevimento si tiene, di norma, il mercoledì dalle 16.30 alle 17.30 sul canale Teams del docente (codice qlpo4sd) oppure, su appuntamento, nello studio del docente sito al 5° piano della Torre Ovest del polo didattico dell'Albergo dei Poveri.
ENRICO DI BELLA (Presidente)
LUCA GANDULLIA
ENRICO IVALDI (Supplente)
PIETRO STANISLAO PARISI (Supplente)
2nd semester: 15/02/2021 – 14/05/2021
L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.
Written exam (50% of final grade) and individual/small group project works (50% of final grade).
The written exam is focused on the theoretical part of the teaching, and it is structured with five multiple-choice quizzes and two open answer questions. The project works are reports of approx 20 pages with the following structure:
A powerpoint presentation of max 10 slides should also be provided with the project work (i.e.: the powerpoint presentation IS NOT the report).
The written exam assesses the knowledge acquired by the student on the statistical methods discussed during the lessons. The project work assesses the student's analytical skills to apply the statistical techniques discussed during teaching, and his/her capability of drawing conclusions from the results of the statistical analyses. Particularly important in the global assessment is the expositive clarity and the property of the technical language of the student.
Data | Ora | Luogo | Tipologia | Note |
---|---|---|---|---|
12/12/2022 | 15:00 | GENOVA | Scritto | |
16/01/2023 | 15:00 | GENOVA | Scritto | |
06/02/2023 | 15:00 | GENOVA | Scritto | |
22/05/2023 | 15:00 | GENOVA | Scritto | |
05/06/2023 | 15:00 | GENOVA | Scritto | |
10/07/2023 | 15:00 | GENOVA | Scritto | |
11/09/2023 | 15:00 | GENOVA | Scritto |