Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models
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DOI: 10.2478/jos-2014-0001
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References listed on IDEAS
- Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
- Jorre T. A. Vannieuwenhuyze & Geert Loosveldt & Geert Molenberghs, 2012. "A Method to Evaluate Mode Effects on the Mean and Variance of a Continuous Variable in Mixed-Mode Surveys," International Statistical Review, International Statistical Institute, vol. 80(2), pages 306-322, August.
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- 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.
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Keywords
Selection effects; measurement effects; back-door model; front-door model; causal inference; opinion about surveys;All these keywords.
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