Cette série propose des introductions concises et pratiques aux méthodologies de pointe dans les sciences sociales. Elle se concentre sur des techniques innovantes qui n'ont peut-être pas encore fait l'objet de traitements approfondis dans des manuels, offrant aux lecteurs un accès aux dernières avancées. La collection est idéale pour les chercheurs et les étudiants diplômés désireux d'améliorer leur boîte à outils méthodologiques et de rester à jour avec les développements rapides. Chaque volume met l'accent sur l'application pratique et sert de ressource précieuse pour apprendre de nouveaux outils et compléter les cours existants.
Twitter presents an ideal combination of size, international reach, and data accessibility that make it a useful data source. Acquiring, cleaning, and analyzing these data, however, require new tools and processes. This Element introduces these methods and provides scripts and examples for downloading, processing, and analyzing Twitter data.
Simple, elegant, and powerful, tools are available in user-friendly, free software to help design, build, and run models of social interactions, even on the most basic laptop. Focusing on a well-known model of housing segregation, this Element sets out the fundamentals of what is now known as 'agent based modeling'.
An accessible and practical guide for the analysis and interpretation of regression discontinuity (RD) designs. The focus is on the canonical sharp RD setup that has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect.
In this Element we develop: stochastic models, which add a crucial element of uncertainty to human interaction; models of human interactions structured by social networks; and 'evolutionary' models in which agents using more effective decision rules are more likely to survive and prosper than others.