Edited and written by a team of leading international social scientists, this handbook provides a comprehensive introduction to multivariate methods. The handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, regression discontinuities Each section of the handbook starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the methods logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the handbook provides a comprehensive discussion of each methods application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
The SAGE Handbook of Regression Analysis and Causal Inference
Henning Best, Christof Wolf
SAGE Publications Limited
2014
424 páginas
14h 8m
ISBN-13: 9781446252444
Inglês
Estatísticas
Avaliações
0 / 0- 5 estrelas0%
- 4 estrelas0%
- 3 estrelas0%
- 2 estrelas0%
- 1 estrelas0%