Spatial Analysis for the Social Sciences
- 259 pages
- 10 hours of reading
This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.
Analytical Methods for Social Research Series
This series delves into the empirical and formal methods crucial for social science research. It offers deep insights into the theoretical underpinnings of analytical techniques and their practical application in research. Volumes cover a broad scope across disciplines, as well as specific methodological applications in fields like political science, sociology, and public health. It serves students and researchers seeking advanced knowledge in social sciences and statistics.
Analytical Methods for Social Research: Data Analysis Using Regression and Multilevel/Hierarchical Models
- 648 pages
- 23 hours of reading
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.