Counterfactuals and Causal Inference
- 499pages
- 18 heures de lecture
This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
Méthodes Analytiques pour la Recherche Sociale Séries
Cette série explore les méthodes empiriques et formelles cruciales pour la recherche en sciences sociales. Elle offre un aperçu approfondi des fondements théoriques des techniques analytiques et de leur application pratique dans la recherche. Les volumes couvrent un large éventail de disciplines, ainsi que des applications méthodologiques spécifiques dans des domaines tels que la science politique, la sociologie et la santé publique. Elle s'adresse aux étudiants et aux chercheurs en quête de connaissances avancées en sciences sociales et en statistique.
Computational Social Science
- 337pages
- 12 heures de lecture
This book provides an overview of cutting-edge approaches to computational social science.
Spatial Analysis for the Social Sciences
- 259pages
- 10 heures de lecture
This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.
Time Series Analysis for the Social Sciences
- 298pages
- 11 heures de lecture
Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.
Intended for students in political science and economics who have already taken a course in game theory, this text provides a unified and accessible survey of canonical and important new formal models of domestic politics.
Essential Mathematics for Political and Social Research
- 482pages
- 17 heures de lecture
The book offers a thorough introduction to the mathematical principles essential for contemporary social scientists. It emphasizes the application of mathematical concepts to social science research, providing tools and techniques that enhance analytical skills. By bridging the gap between mathematics and social science, it equips readers with the necessary knowledge to effectively interpret data and engage in quantitative analysis.
Analytical Methods for Social Research: Data Analysis Using Regression and Multilevel/Hierarchical Models
- 648pages
- 23 heures de lecture
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: // www.stat.columbia.edu/ gelman/arm/
