Alberto Stefanelli

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Lecturer
Department of Political Science & Statistics
Yale University

My research focuses on radicalism, voting behaviour, and democratic representation. In particular, I explore the motivations behind individuals embracing radical ideologies and analyzes their profound impact on political judgments and attitudes toward democracy. I am also interested in conjoint experiments, interviewer effects, NLP, and machine learning.


Curriculum Vitae

Department Page


alberto.stefanelli@yale.edu
Institution for Social and Policy Studies, 77 Prospect Street
New Haven, CT 06511
USA

Peer-Reviewed Publications

Under Review

In Preparation

Dissertation

Software

Teaching

  • Introduction to Conjoint Expriments (Graduate and post-graduate level, 2021 - 2024) [ECPR Course Description] [Course public repository]
  • Course Description

    Estimating causal effects is a central aim of quantitative empirical analysis in social sciences. Recently, Conjoint Analysis and Choice-Based Conjoint Experiments have gained interest among social scientists to understand and predict people's preferences in a multi-dimensional and multi-choice environment. This course offers an applied introduction to Choice-Based Conjoint, along with hands-on experience in lab sessions.

  • Structural Equations (Graduate level, Master of Statistics, 2021 - 2024) [KU Leuven Course Repository] [Course public repository]
  • Course Description

    The module introduces the logic and the statistical theory of structural equation modeling. The emphasis is on the practical use of models and methods as research tools in the social and behavioral sciences. In particular, this module covers the estimation of such models for normal, non-normal, and ordinal variables using R. This includes maximum likelihood, robust maximum likelihood, and various least-squares methods.

    I received the 2021 Berg-Schlosser Award for outstanding pedagogy at the ECPR Methods School for my role of Teaching Assistant for a variety of advanced statistical courses. This work included creating lab sections for a several advanced methods courses, including Structural Equation Modelling (SEM), Multilevel SEM, and Advanced Multilevel Regression Modelling.

    You are welcome to use my teaching material, but please make sure to attribute it to me.


    About this website: This website uses code from Minimal Mistakes and is based on a simplified version of Shiro Kuriwaki's website.