Improving Surveys with Paradata: Analytic Use of Process Information
I have authored or co-authored a couple of chapters in this new edited volume focusing on the various uses of survey paradata, or survey process information (edited by Frauke Kreuter):
1. West, B.T. (2013). The Effects of Error in Paradata on Weighting Class Adjustments: A Simulation Study. Chapter 15 in Improving Surveys with Paradata: Analytic Use of Process Information. Wiley Publishing.
2. West, B.T. and Sinibaldi, J. (2013). The Quality of Paradata: A Literature Review. Chapter 14 in Improving Surveys with Paradata: Analytic Use of Process Information. Wiley Publishing.
This was an exciting project to work on, and provides survey researchers with an up-to-date reference on the value of paradata for survey research.

The SAGE Handbook of Multilevel Modeling
This new handbook represents a modern and comprehensive overview of current research and practice related to multilevel modeling by leading statisticians in the area, with a focus on practical applications and considerations. My colleague Andrzej Galecki and I contributed a chapter on software for multilevel modeling (Chapter 26). I would highly recommend this resource if you use multilevel models frequently in your work!

The SAGE Handbook of Regression Analysis and Causal Inference
This new handbook presents modern views on both the art and science of regression modeling, and provides an up-to-date reference on the newest approaches to causal inference. In Chapter 11, the three authors of ASDA present an overview of modern approaches to fitting regression models to data from complex sample surveys.

The SAGE Handbook of Survey Methodology
This new handbook presents a comprehensive set of material on the current state-of-the-art research on all aspects of survey research, ranging from design to analysis. In Chapter 31, Stephanie Eckman and I describe modern approaches to the analysis of complex sample survey data.

Last modified 9/5/16 by Brady T. West