C9003 - Statistical Methods and Psychometrics (1) (LM)

Academic Year 2026/2027

  • Docente: Sara Garofalo
  • Credits: 6
  • SSD: PSIC-01/C
  • Language: English
  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Digital Minds (cod. 6246)

Learning outcomes

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.

Course contents

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

Readings/Bibliography

“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/

Teaching methods

Lectures and in-class exercises

Assessment methods

  • Individual or group project involving the design of a scientific experiment
  • Written report or oral presentation explaining the experiment

Teaching tools

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.

Office hours

See the website of Sara Garofalo