- Docente: Sara Garofalo
- Crediti formativi: 6
- SSD: PSIC-01/C
- Lingua di insegnamento: Inglese
- Modalità didattica: Lezioni in presenza (totalmente o parzialmente)
- Campus: Bologna
- Corso: Laurea Magistrale in Digital Minds (cod. 6246)
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dal 01/02/2027 al 10/03/2027
Conoscenze e abilità da conseguire
By the end of the course, students will be able to: use descriptive statistics according to different types of variables; know the foundation of inferential statistics and linear and non linear regression models and cluster analysis.
Contenuti
This course provides the statistical foundations to analyze different types of data. The focus is on the understanding of simple predictive models, such as linear and non-linear regression models.
Topics covered include:
- Types of variables and research design
- Descriptive statistics
- Inferential statistics
- Linear Regression
- Non-linear regression
- Cluster analysis
Testi/Bibliografia
“Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners” by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry.
Available for free at: https://learnstatswithjasp.com/Metodi didattici
Lectures and in-class exercises
Modalità di verifica e valutazione dell'apprendimento
- Individual or group project involving the design of a scientific experiment
- Written report or oral presentation explaining the experiment
Strumenti a supporto della didattica
Slides, in-class exercises.
Students with learning disorders and\or temporary or permanent disabilities: please, contact theoffice responsible (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students) as soon aspossible so that they can propose acceptable adjustments. The request for adaptation must besubmitted in advance (15 days before the exam date) to the lecturer, who will assess theappropriateness of the adjustments, taking into account the teaching objectives.
Orario di ricevimento
Consulta il sito web di Sara Garofalo