His main interests are in nonresponse measurement, reduction, and adjustment, causal understanding of the relationship between survey errors, designing studies that minimize total survey error in estimates, and adaptive and responsive survey designs. His recent research includes use of multiple imputation for nonresponse and measurement error, evaluation and use of commercial data, research on split questionnaire design, and testing adaptive and responsive survey design features. He obtained his Master’s degree in Survey Research and Methodology from the University of Nebraska-Lincoln and PhD degree in Survey Methodology from the University of Michigan.