Survey Nonresponse
Nonresponse is a critical challenge for the administration of surveys and for the analysis of survey data.
Contents
Reading Notes
A Comparison of Methods of Weighting Adjustment for Nonresponse, Graham Kalton and Dalisay S. Maligalig, 1991
Improving on Probability Weighting for Household Size, Andrew Gelman and Thomas C. Little, 1998
Practical Considerations in Raking Survey Data; Michael P Battaglia, David C Hoaglin, and Martin R Frankel (and sometimes David Izrael); 2009
Exploring Nonresponse Bias in a Health Survey Using Neighborhood Characteristics; Sunghee Lee, E. Richard Brown, David Grant, Thomas R. Belin, and Michael Brick; 2009
Using a Geographic Segmentation to Understand, Predict, and Plan for Census and Survey Mail Nonresponse, Nancy Bates and Mary H. Mulry, 2011
Analyzing establishment nonresponse using an interpretable regression tree model with linked administrative data, Polly Phipps and Daniell Toth, 2012
Nonresponse Bias Adjustment in Establishment Surveys: A Comparison of Weighting Methods using the Agricultural Resource Management Survey (ARMS); Morgan Earp, Melissa Mitchell, Phil Kott, Frauke Kreuter, and Eric Porter; 2012
The Low Response Score (LRS): A Metric to Locate, Predict, and Manage Hard-to-Survey Populations, Chandra Erdman and Nancy Bates, 2017
Assessing the Effect of Social Integration on Unit Nonresponse in Household Surveys, Ashley Amaya and Jeffrey R. Harring, 2017
Statistical Paradises and Paradoxes in Big Data, Xiao-Li Meng, 2018
Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees; Morgan Earp, Daniell Toth, Polly Phipps, and Charlotte Oslund; 2018
Viewing Participation in Censuses and Surveys through the Lens of Lifestyle Segments; Mary H Mulry, Nancy Bates, and Matthew Virgile; 2021
Using Semi-Structured Interviews to Better Understand Nonresponse to a Government-Sponsored, Mail-Based Survey of Households; Rebecca L Medway, Melissa Scardaville, Paula Dias, and Christopher Paek; 2025
Invitation Letters Increase Response Rates in Elite Surveys: Evidence from Germany and the United Kingdom, Nathalie Giger and Miguel M. Pereira, 2025
Reducing attrition in phone-based panel surveys: best practices and semi-automation for survey workflows; Ala Alrababah, Marine Casalis, Daniel Masterson, Dominik Hangartner, Stefan Wehrli, and Jeremy Weinstein; 2025