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2012 | 22 | 4 | 69-85

Article title

An optimal assignment procedure for multiple online surveys

Selected contents from this journal

Title variants

Languages of publication

EN

Abstracts

EN
The problem of optimal assignment of respondents to internet surveys has been considered. The task is taken from a leading online research company in Central and Eastern Europe, which runs several dozen surveys in parallel. Each survey is assigned a target number of responses to be collected and unique selection criteria for choosing respondents based on their socio-demographic data. A mathematical programming model has been proposed that enables us to find an optimal mechanism for assigning respondents to surveys so as to minimize the required total number of invitations to surveys issued. A side effect of the assignment procedure is that the samples obtained are not representative of the population under survey. Therefore, a sample weighting scheme has been developed that takes this fact into account and allows us to obtain unbiased estimators of the characteristics of the population surveyed.

Year

Volume

22

Issue

4

Pages

69-85

Physical description

Contributors

  • Warsaw School of Economics, al. Niepodległości 162, 02-554 Warszawa, Poland
  • Warsaw School of Economics, al. Niepodległości 162, 02-554 Warszawa, Poland
author
  • Warsaw School of Economics, al. Niepodległości 162, 02-554 Warszawa, Poland
  • Gemius S.A., ul. Postępu 18B, 02-676 Warszawa, Poland

References

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  • HERRINGA S.G., GROVES R.M., Responsive design for household surveys: tools for actively controlling survey errors and costs, Journal of the Royal Statistical Society: Series A, Statistics in Society, 2006, 169, 439–457.
  • KARP R.M., VAZIRANI U.V., VAZIRANI V.V., 1990, An optimal algorithm for on-line bipartatie matching, STOC 90, Proceedings of the twenty-second annual ACM symposium on theory of computing, Baltimore, 13–17.05.1990, 352–358.
  • LOHR S., RAO J.N.K., Estimation in Multiple-Frame Surveys, Journal of the American Statistical Association, 2006, 101, 1019–1030.
  • PUTERMAN M.L., Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley, Hoboken, New Jersey 1994.
  • SELM VAN M., JANKOWSKI N.W., Conducting Online Surveys, Quality and Quantity, 2006, 40, 435–456.
  • SINGH A., TANEJA A., MANGALARAJ G., Creating Online Surveys: Some Wisdom from the Trenches Tutorial, IEEE Transactions on Professional Communication, 2009, 52 (2), 197–212.
  • SUE V.M., RITTER L.A., Conducting Online Surveys, SAGE Publications, Los Angeles 2006.
  • VEE E., VASSILVITSKII S., SHANMUGASUNDARAM J., Optimal online assignment with forecasts, ACM, Cambridge, Massachusetts, USA, 2010.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-810eb93c-54a1-4797-a0b2-dccbfb8d3ec4
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