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Introduction to Quantitative Methods (SPS-MEMWP-QM-24)

SPS-MEMWP-QM-24


Department SPS
Course category SPS Methods Seminar
Course type Seminar
Academic year 2024-2025
Term 1ST TERM
Credits 20 (EUI SPS Department)
Professors
Contact Fanti, Claudia
  Course materials
Sessions

01/10/2024 11:00-13:00 @ Seminar Room 4, Badia Fiesolana

08/10/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

15/10/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

22/10/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

29/10/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

05/11/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

12/11/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

19/11/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

26/11/2024 11:00-13:00 @ Sala del Capitolo, Badia Fiesolana

03/12/2024 11:00-13:00 @ Seminar Room 2, Badia Fiesolana

Purpose

The course aims to provide a solid foundation in the quantitative methods commonly used by social scientists. The focus will be mainly on the reasoning behind hypothesis testing, causality issues, and linear regression (including estimation, interpretation, diagnostic tools, and interactions). The course will be structured around lectures and lab sessions. Often, the weekly reading will be a peer-reviewed article with a method we will discuss in class. Therefore, it is very important to read the assigned material before the course to benefit fully from the class. As for the lab sessions, the aim is to help researchers improve their coding skills in either Stata or R. During lab sessions, I will also emphasize the importance of reproducibility in social science research by, for instance, providing recommendations on how to set up data files for replication. These skills will help researchers during the publication process and assist them in developing good coding habits early in their PhD training.
This seminar is for researchers with little to no knowledge of quantitative methods. Knowledge of R or Stata is not required, as the course will provide the necessary background to perform the analyses. Register for this course

Page last updated on 05 September 2023

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