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| * [[UsingAGeographicSegmentationToUnderstandPredictAndPlanForCensusAndSurveyMailNonresponse|Using a Geographic Segmentation to Understand, Predict, and Plan for Census and Survey Mail Nonresponse]], Nancy Bates and Mary H. Mulry, 2011 |
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
The Low Response Score (LRS): A Metric to Locate, Predict, and Manage Hard-to-Survey Populations, Chandra Erdman and Nancy Bates, 2017
Statistical Paradises and Paradoxes in Big Data, Xiao-Li Meng, 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