James completed his PhD in Survey Methodology in 2008 at the University of Michigan. His research is in the area of nonresponse. Recently, he has been examining indicators for the risk of nonresponse bias and how they might be used to improve data collection. In addition, he is interested in responsive design techniques aimed at improving the quality of survey data. He has published articles in a variety of journals including Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Statistics in Medicine, the Journal of Official Statistics and others. He also has a great deal of experience with sample design and has worked on a large variety of samples. He is currently the Chief Mathematical Statistician for the National Survey of Family Growth.