Spatial Analysis for the Social Sciences
- 259 stránok
- 10 hodin čítania
This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.
Táto séria sa ponorí do empirických a formálnych metód kľúčových pre spoločenské vedy. Poskytuje hlboký vhľad do teoretických základov analytických techník a ich praktickej aplikácie vo výskume. Knihy pokrývajú široké spektrum tém naprieč odbormi aj špecifické metodologické aplikácie v oblastiach ako politológia, sociológia či verejné zdravie. Je určená študentom aj výskumníkom hľadajúcim pokročilé poznatky v oblasti spoločenských vied a štatistiky.


This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.
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.