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Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys

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  • Thomas Klausch
  • Barry Schouten
  • Joop J. Hox

Abstract

This study evaluated three types of bias—total, measurement, and selection bias (SB)—in three sequential mixed-mode designs of the Dutch Crime Victimization Survey: telephone, mail, and web, where nonrespondents were followed up face-to-face (F2F). In the absence of true scores, all biases were estimated as mode effects against two different types of benchmarks. In the single-mode benchmark (SMB), effects were evaluated against a F2F reference survey. In an alternative analysis, a “hybrid-mode benchmark†(HMB) was used, where effects were evaluated against a mix of the measurements of a web survey and the SB of a F2F survey. A special reinterview design made available additional auxiliary data exploited in estimation for a range of survey variables. Depending on the SMB and HMB perspectives, a telephone, mail, or web design with a F2F follow-up (SMB) or a design involving only mail and/or web but not a F2F follow-up (HMB) is recommended based on the empirical findings.

Suggested Citation

  • Thomas Klausch & Barry Schouten & Joop J. Hox, 2017. "Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys," Sociological Methods & Research, , vol. 46(3), pages 456-489, August.
    • Handle: RePEc:sae:somere:v:46:y:2017:i:3:p:456-489
    DOI: 10.1177/0049124115585362
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    References listed on IDEAS

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    1. Donald B. Rubin, 2003. "Nested multiple imputation of NMES via partially incompatible MCMC," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 3-18, February.
    2. Vannieuwenhuyze Jorre T.A. & Loosveldt Geert & Molenberghs Geert, 2014. "Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models," Journal of Official Statistics, Sciendo, vol. 30(1), pages 1-21, March.
    3. Thomas Klausch & Joop Hox & Barry Schouten, 2015. "Selection error in single- and mixed mode surveys of the Dutch general population," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 945-961, October.
    4. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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