JOS Special Issue on Responsive and Adaptive Survey Design: Looking Back to See Forward – Editorial

Author:

Chun Asaph Young1,Schouten Barry2,Wagner James3

Affiliation:

1. Research Chief for Decennial Directorate at the U.S. Census Bureau . Washington , D.C., 20233 , United States of America .

2. Senior Methodologist at Statistics Netherlands and Professor at Utrecht University , The Netherlands .

3. Research Associate Professor at the University of Michigan , Ann Arbor , MI, 48109 , United States of America .

Publisher

Walter de Gruyter GmbH

Reference28 articles.

1. Calinescu, M., S. Bhulai, and B. Schouten. 2013. “Optimal Resource Allocation in Survey Designs.” European Journal of Operations Research 226(1): 115–121. Doi: https://doi.org/10.1016/j.ejor.2012.10.046.10.1016/j.ejor.2012.10.046

2. Calinescu, M. and B. Schouten. 2015. “Adaptive Survey Designs to Minimize Mode Effects. A Case Study on the Dutch Labour Force Survey.” Survey Methodology 41(2): 403–425.

3. Calinescu, M. and B. Schouten. 2016. “Adaptive Survey Designs for Nonresponse and Measurement Error in Multi-Purpose Surveys.” Survey Research Methods 10(1): 35–47.

4. Chun, Y. 2009. Nonparticipation of the 12th graders in the National Assessment of Educational Progress: Understanding Determinants of Nonresponse and Assessing the Impact on NAEP Estimates of Nonresponse Bias According to Propensity Models. University of Maryland, College Park, USA. Available at: http://hdl.handle.net/1903/9916 (accessed June 20, 2017).

5. Chun, Y. and M. Kwanisai. 2010. “A Response Propensity Modeling Navigator for Paradata.” In Proceedings of the Survey Research Methods Section of the American Statistical Association, 356–369. Joint Statistical Meetings, Vancouver, Canada. Available at: http://ww2.amstat.org/sections/SRMS/Proceedings/y2010/Files/306125_55196.pdf (accessed June 20, 2017).

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