Teaching

The rationale of this course is to expose students to the leading quantitative approaches in contemporary sociology. Some methods are at the frontier of neighboring disciplines like history, economics, psychology, biology and physics. The emphasis is on international, mostly American research. Each session introduces the class to a new approach with a brief overview of the techniques and concepts. The main work consists of the reading, presentation and critical commentary of applied research articles, published in top social science journals in the last 5 to 10 years. In addition to their methodological novelty, the articles are selected for their variety of subject areas (gender stereotyping, racial discrimination, climate change, cultural transmission, innovation, collective action, urban development, etc.). The goal is to expose students to some of the most up-to-date findings of the discipline and to enrich your research tool-set by stimulating your thinking with original takes on classic questions.

Link to course website: https://tiqs.ipetev.org/.

Ce séminaire a pour objectif d'accompagner les étudiants inscrits en deuxième année du Master Sociologie quantitative et démographie en leur offrant un lieu d’apprentissage et de discussion sur le design et la rédaction du mémoire de recherche.

Link to course website: https://suivim2.ipetev.org/.

L’objectif de cet enseignement est d’offrir un éclairage sur les enjeux sociaux des questions écologiques. Mêlant présentations des deux enseignants et conférences invitées suivies de discussions, les séances visent à introduire les étudiants aux principaux enjeux qui animent le débat public sur le changement climatique : rapport de l’humain à la nature, systèmes politiques et économiques, inégalités sociales et économiques, et politiques publiques. 

Link to course website: https://ssenvir.ipetev.org/.

This is an applied module which introduces students to the substantive interest and practical use of latent variables models.

Lecture 1

Lecture 2 - alcool data + replication syntax file; gender data + replication syntax file

- depress data (also in .csv format)+ syntax file with instructions (also in .txt format) 

=> solution to exercise with depress data in this syntax file (also in .txt format);

Lecture 3 - syntax file (also in .txt format) with examples of advanced models

- à lire:

• Bonikowski, Bart, and Paul DiMaggio. 2016. “Varieties of American Popular Nationalism.” American Sociological Review 81(5):949–80. Replication Package.

• Eger, Maureen A., and Mikael Hjerm. 2022. “Identifying Varieties of Nationalism: A Critique of a Purely Inductive Approach.” Nations and Nationalism 28(1):341–52.

• Bonikowski, Bart, and Paul DiMaggio. 2022. “Mapping Culture with Latent Class Analysis: A Response to Eger and Hjerm.” Nations and Nationalism 28(1):353–65.

Evaluation exercise - dataset + syntax file (instructions inside!)

Bibliography:

• Jay Magidson, Jeroen Vermunt: “Latent Class Models”

• Bengt Muthén: “Latent Variable Hybrids. Overview of Old and New Models”

• Bengt Muthén: “Beyond SEM: General Latent Variable Modeling”

• Gitta Lubke, Bengt Muthén: “Investigating Population Heterogeneity With Factor Mixture Models”

• David J. Bartholomew, Martin Knott, Irini Moustaki: Latent Variable Models and Factor Analysis: A Unified Approach

• Anders Skrondal, Sophia Rabe-Hesketh: Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models

Softwares:

• LatentGold

  • LatentGold Demo download (free for 60 days)

  • Manuals: 1) practical et 2) technical

  • Tutorials (especially LatentGold et LatentGold Advanced/Syntax)

  • Specialized and applied papers

• Mplus (website contains plenty examples and manuals)

• Stata

  • LCA in Stata (file contains links to related examples)

  • Structural Equation Modeling Manual in Stata

• R

  • Michael Clark's excellent and detailed github webpage: Graphical & Latent Variable Modeling