Waksberg Award

The journal Survey Methodology has established an annual invited paper series in honor of Joseph Waksberg to recognize his contributions to survey methodology. Each year a prominent survey statistician is chosen to write a paper that reviews the development and current state of an important topic in the field of survey methodology. The paper reflects the mixture of theory and practice that characterized Joe Waksberg's work.

The recipient of the Waksberg Award receives an honorarium and gives the Waksberg Invited Address at the annual Statistics Canada Symposium. The paper is published in a future issue of Survey Methodology.

Waksberg Award honorees are:

  • 2024 Richard Valliant, manuscript in preparation.
  • 2023 Ray Chambers, “The missing information principle ‒ A paradigm for analysis of messy sample survey data”. Survey Methodology, vol. 49, 2, 219-256.
  • 2022 Roderick J. Little, “Bayes, buttressed by design-based ideas, is the best overarching paradigm for sample survey inference”. Survey Methodology, vol. 48, 2, 257-281.
  • 2021 Sharon Lohr, "Multiple-frame surveys for a multiple-data-source world", Survey Methodology, vol. 47, no. 2, pp. 229-263.
  • 2020 Roger Tourangeau, "Science and Survey Management" Survey Methodology, vol. 47, no. 1, pp. 3-28.
  • 2019 Chris Skinner 
  • 2018 Jean-Claude Deville, "De la pratique à la théorie: l'exemple du calage à poids bornés – From Practice to Theory : The Example of Bounded Calibration Weights"
  • 2017 Donald B. Rubin, "The Sage Statistician and Conditional Calibration" Survey Methodology, vol. 45, no. 2, pp. 187-198.
  • 2016 Don Dillman, "The promise and challenge of pushing respondents to the Web in mixed-mode surveys" Survey Methodology, vol. 43, no. 1, pp. 3-30.
  • 2015 Robert Groves, "Towards a Quality Framework for Blends of Designed and Organic Data." Proceedings: Symposium 2016, Growth in Statistical Information: Challenges and Benefits.
  • 2014 Constance F. Citro, "From Multiple Modes for Surveys to Multiple Data Sources for Estimates" Survey Methodology, vol. 40, no. 2, pp. 137-161.
  • 2013 Ken Brewer, "Three Controversies in the History of Survey Sampling" Survey Methodology, vol. 39, no. 2, pp. 249-262.
  • 2012 Lars Lyberg, "Survey Quality" Survey Methodology, vol. 38, no. 2, pp. 107-130.
  • 2011 Danny Pfeffermann, "Modeling of Complex Survey Data: Why model? Why is it a problem? How can we approach it?" Survey Methodology, vol. 37, no. 2, pp. 115-136.
  • 2010 Ivan Fellegi, "The organization of statistical methodology and methodological research in national statistical offices." Survey Methodology, vol. 36, no. 2, pp. 123-130.
  • 2009 Graham Kalton, "Methods for Oversampling Rare Subpopulations in Social Surveys." Survey Methodology, vol. 35, no. 2, pp. 125-141.
  • 2008 Mary Thompson, "International surveys: Motives and Methodologies." Survey Methodology, vol. 34, no. 2, pp. 131-141.
  • 2007 Carl-Erik Särndal, "The Calibration Approach in Survey Theory and Practice." Survey Methodology, vol. 33, no. 2, pp. 99-119.
  • 2006 Alastair Scott, "Population-Based Case Control Studies." Survey Methodology, vol. 32, no. 2, pp. 123-132.
  • 2005 J.N.K. Rao, "Interplay Between Sample Survey Theory and Practice: An Appraisal." Survey Methodology, vol. 31, no. 2, pp. 117-138.
  • 2004 Norman Bradburn, "Understanding the Question-Answer Process." Survey Methodology, vol. 30, no. 1, pp. 5-15.
  • 2003 David Holt, "Methodological Issues in the Development and Use of Statistical Indicators for International Comparisons." Survey Methodology, vol. 29, no. 1, pp. 5-17.
  • 2002 Wayne Fuller, "Regression Estimation for Survey Samples." Survey Methodology, vol. 28, no. 1, pp. 5-23.
  • 2001 Gad Nathan, "Telesurvey Methodologies for Household Surveys-A Review and Some Thoughts for the Future." Survey Methodology, vol. 27, no. 1, pp.7-31.