Topics in quantitative sociologySpecialization Data Science and Social Sciences (24h), ENSAE. (Since 2014)
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/.
Latent variable modelsModule from the course in Advanced quantitative methods in contemporary sociologySpecialization Data Science and Social Sciences (9h), ENSAE. (Since 2017)
This is an applied module which introduces students to the substantive interest and practical use of latent variables models.
Jay Magidson, Jeroen Vermunt: “Latent Class 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
Mplus (website contains plenty examples and manuals)
Michael Clark's excellent and detailed github webpage: Graphical & Latent Variable Modeling
PAST COURSESMSc in International Affairs (9 x 24h), Sciences Po, Paris.Evaluations: Fall 2010, 2011, 2012: 1, 2, 3(NA), 4(NA); Spring 2011, 2012: 1, 2.Co-taught with François Briatte.
Social Consequences of the Recession (Spring 2012)Mini-PhD Seminar Series (10h), ENSAE.
Statistical Reasoning and Quantitative Methods (Fall 2011)MSc Governing the Large Metropolis (24h), Sciences Po, Paris.Evaluations: Fall 2011.
Statistical Reasoning and Quantitative Methods (Fall 2010 & 2011)MSc in European Affairs (2 x 24h), Sciences Po, Paris.Evaluations: Fall 2010(NA) & 2011.Co-taught with Bruno Cautrès.
Quantitative Sociology (Fall 2010)MSc in Economics and Public Policy (36h), Polytechnique/ENSAE/Sciences Po, Paris.Evaluations: lecture; workshop.Co-taught with Louis Chauvel.
Introduction to Data Analysis (Spring 2013)Seminar in Sociology (24h), Sciences Po, Reims.Evaluations: Spring 2013.Co-taught with François Briatte.
Social Consequences of the Recession (Spring 2012 & 2013)Seminar in Sociology (2 x 24h), Euro-American Campus, Sciences Po, Reims.Evaluations: Spring 2012, 2013.
Social Consequences of the Recession (Spring 2012)Seminar in Sociology (24h), Sciences Po, Paris.Evaluations: Spring 2012.
Empirical Sociology of Inequality (Spring 2011)Seminar in Sociology (24h), Sciences Po, Paris.Evaluations: Spring 2011.Co-taught with Louis Chauvel.
Seminar in Applied Statistics (2008-2009)Student group project mentor (18h), ENSAE.
The Changing American Family (Spring 2007 & 2008)Sociology Department, Stanford Univeristy.Evaluations: group 1 (2007; 2008); group 2 (2007; 2008).Teaching Assistant for Michael Rosenfeld.
Sociology of Law (Winter 2007)Sociology Department/School of Law, Stanford Univeristy.Evaluations: group 1; group 2.Teaching Assistant for Michele Dauber.
The Urban Underclass (Fall 2007)Sociology Department, Stanford University.Evaluations: group 1; group 2.Teaching Assistant for Michael Rosenfeld.
Introduction to Social Stratification (Spring 2006).Sociology Department, Stanford Univeristy.Teaching Assistant for David B. Grusky.
Crime, Courts and Incarceration (Fall 2005)Sociology Department, Stanford University.Teaching Assistant for Brian Colwell.