Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys
Publication date
2017-08-01
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taverne
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.
Keywords
causal inference, missing data, mixed-mode surveys, mode effects, multiple imputation, potential outcomes, total survey error, Taverne, Social Sciences (miscellaneous), Sociology and Political Science, SDG 16 - Peace, Justice and Strong Institutions
Citation
Klausch, T, Schouten, B & Hox, J J 2017, 'Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys', Sociological Methods and Research, vol. 46, no. 3, pp. 456-489. https://doi.org/10.1177/0049124115585362