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Using mixed modes to address nonresponse bias in surveys
Röschová, Michaela ; Hamplová, Dana (advisor) ; Remr, Jiří (referee) ; Hruška, Lubor (referee)
Declining response affecting population surveys in the past decades led to a shift of focus from response rate to nonresponse bias. From a theoretical perspective on nonresponse, reducing nonresponse bias requires altering the differential response propensities of sampled units through the application of unequal intensity or type of effort across the units. At the same time, it is acknowledged that implementing nonresponse bias reduction strategies is more challenging than focusing solely on response maximisation because these two may constitute conflicting objectives, especially in the context of increasing fieldwork costs. This dissertation aims to contribute to the discussion on strategies to address nonresponse bias in the conditions of decreasing response rates and under less favourable survey conditions in general. It explores the barriers to a more widespread application of nonresponse bias strategies and formulates criteria for a more feasible nonresponse bias strategy that would be accessible to a wider range of survey entities. It argues that mixed methods are particularly suitable for offering a solution. The empirical part assesses whether the application of a CAWI conversion attempt in a random probability face-to-face survey may serve as a feasible nonresponse bias reduction strategy....

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