- Subject index
‘The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.’
- John Fox, Professor, Department of Sociology, McMaster University
‘The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.’
- Ben Jann, Executive Director, Institute of Sociology, University of Bern
‘Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for ...
Chapter 10: Graphical Display of Regression Results
Graphical Display of Regression Results
Introduction to the Method
The world is inherently multivariate. Statistical models in all scientific disciplines are therefore usually similarly multivariate, but whenever researchers want to display their data or their results on a sheet of paper, or even on a video screen, they have to reduce the multidimensionality to a much smaller number of dimensions. This reduction in information is the key issue whenever we attempt to visualize multivariate information such as regression results. Of course, scientists simultaneously want to highlight the most relevant aspects of variation found in the data under consideration. Designing regression graphs thus requires careful thought regarding the selection, grouping and representation of information. Edward R. Tufte, a pioneer in the field of ...